CrawlJobs Logo

Sr. Applied AI Engineer, Generative AI Applications

United States, Boston · Job Posted January 30, 2026
Apply Position
Job Link Share

Job Description

HBS Foundry is a new initiative at Harvard Business School that helps founders build, fund, and launch their ventures through an AI-driven digital learning platform. We’re a small, collaborative team within one of the world’s most respected institutions—combining the energy of a startup with the mission and reach of Harvard. Foundry brings together educators, engineers, and creative thinkers who are passionate about innovation, learning, and impact. Together, we’re developing tools and experiences that empower founders to grow their ventures and their confidence. It’s an exciting, fast-moving environment where new ideas matter and every team member has the opportunity to shape what comes next.

Job Responsibility

  • Lead comprehensive applications/web development for highly complex projects
  • Deliver strategic and expert coding
  • focus on overarching development strategy for a large, complex, multi-faceted application
  • May manage a number of projects simultaneously
  • Design, develop, and deploy state-of-the-art generative AI models
  • Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
  • Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision
  • Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs
  • Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models
  • Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement
  • Collaborate with teams: Work with data scientists, project managers, and other stakeholders to identify business needs and deliver AI solutions
  • Stay updated: Keep up with the latest advancements in AI technology, tools, and trends to ensure projects remain innovative

Requirements

  • Minimum of seven years’ post-secondary education or relevant work experience
  • A bachelor's degree in computer science, data science, or a related field is required
  • Strong proficiency in programming languages such as Python and Java
  • Experience with AI frameworks like TensorFlow and PyTorch
  • Strong analytical and logical thinking skills to tackle complex problems
  • Ability to work effectively with cross-functional teams
  • Familiarity with cloud platforms is often beneficial

What we offer

  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Sr. Applied AI Engineer, Generative AI Applications

8 matching positions

Sr Engineer, Enterprise AI

The Senior Engineer, Enterprise AI helps design, build, and scale AI-powered app...
Location
Location
United States , Bellevue; Frisco
Salary
Salary:
133100.00 - 240100.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4–7 years of experience in software engineering, AI/ML engineering, platform engineering, or enterprise application development
  • Experience building and deploying scalable software applications or platforms in enterprise environments
  • Experience developing AI-enabled applications, intelligent automation workflows, or LLM-powered solutions using modern AI frameworks and tools
  • Experience designing or integrating distributed systems, APIs, enterprise platforms, or cloud-native applications
  • Experience collaborating cross-functionally with engineering, product, architecture, and business teams to deliver production solutions
  • Bachelor's Degree Bachelor’s degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent
  • At least 18 years of age
  • Legally authorized to work in the United States
Job Responsibility
Job Responsibility
  • Design, develop, deploy, and support enterprise AI applications, autonomous agents, and intelligent workflow solutions that improve employee productivity and operational efficiency
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines, semantic search capabilities, and AI orchestration workflows integrated with enterprise platforms and data sources
  • Develop scalable integrations and AI-enabled services connecting systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, Atlassian, and other enterprise platforms
  • Partner with engineering, product, architecture, and business stakeholders to deliver secure, reliable, and scalable AI-driven solutions in production environments
  • Apply strong software engineering principles across system design, coding, CI/CD, observability, testing, troubleshooting, and operational support
  • Utilize modern AI development tools and coding assistants to rapidly prototype, iterate, and improve AI-enabled applications and workflows
  • Contribute to AI governance, security, reliability, and compliance standards for enterprise AI deployments
  • Evaluate emerging AI technologies, frameworks, and methodologies to continuously improve platform capabilities and engineering effectiveness
  • Participate in architectural discussions, technical reviews, and engineering best practices to help raise the overall technical maturity of the team
  • Support a highly iterative development environment where rapid experimentation, continuous learning, and fast adaptation are critical to success
What we offer
What we offer
  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Free year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Paid time off
  • Up to 12 paid holidays
  • Paid parental and family leave
  • Fulltime
Read More
Arrow Right

Sr. Applied Scientist

Advertising is a complex, multi-sided market with many technologies at play with...
Location
Location
United States , Seattle
Salary
Salary:
167100.00 - 226100.00 USD / Year
Amazon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
Job Responsibility
Job Responsibility
  • Partner deeply with Product and Engineering to develop AI-based solutions to generating contextual signals across both video (VOD and Live) and display ads
  • Drive end-to-end applied science projects that have a high degree of ambiguity, scale, complexity
  • Provide technical/science leadership related to computer vision, large language models and contextual targeting
  • Research new and innovative machine learning approaches
  • Partner with Applied Scientists across the broader org to make the most of prior art and contribute back to this community the innovation that you come up with
What we offer
What we offer
  • Sign-on payments and restricted stock units (RSUs)
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • Fulltime
Read More
Arrow Right

Sr Engineer, Machine Learning Engineering

The Senior Engineer, Machine Learning plays a pivotal role in advancing AI capab...
Location
Location
United States , Bellevue; Atlanta; Overland Park; Herndon
Salary
Salary:
127000.00 - 229100.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field
  • 1+ year of experience in designing, developing, and deploying large language models (LLMs) and generative AI systems in production environments
  • 5+ years of experience building and maintaining end-to-end ML pipelines, including data ingestion, training, deployment, monitoring, and optimization
  • 3+ years of experience applying MLOps practices and leveraging cloud platforms (AWS, GCP, or Azure) for scalable AI solutions
  • 5+ years of experience collaborating with cross-functional teams (engineering, data science, and product) to deliver AI-powered applications
  • 2+ years of experience in programming languages such as Python/R, Java/Scala, and/or Go, with hands-on experience in frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face
  • At least 18 years of age
  • Legally authorized to work in the United States
Job Responsibility
Job Responsibility
  • Build and manage the complete machine learning and generative AI lifecycle, including research, design, experimentation, development, deployment, monitoring, and maintenance
  • Design, develop, and deploy LLM-based and generative AI models to power scalable and intelligent enterprise applications
  • Architect, optimize, and maintain retrieval-augmented generation (RAG), prompt orchestration, and contextual reasoning pipelines to support diverse AI use cases
  • Implement scalable MLOps pipelines for model deployment, performance monitoring, and continuous improvement
  • Conduct fine-tuning, alignment, and evaluation of LLMs and multimodal models to ensure reliability, efficiency, and fairness
  • Collaborate with data science, engineering, and product teams to translate business needs into generative AI-driven solutions
  • Perform benchmarking, evaluation, and optimization of generative models to improve accuracy, latency, and cost efficiency
  • Research and apply emerging techniques in transformer architectures, multimodal learning, and generative modeling to drive innovation and enhance enterprise capabilities
  • Ensure secure, ethical, and responsible AI deployment, embedding fairness, transparency, and compliance throughout the model lifecycle
  • Mentor and guide team members on generative AI frameworks, best practices, and experimentation methodologies
What we offer
What we offer
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • free, year-round money coaches
  • medical insurance
  • dental insurance
  • vision insurance
  • flexible spending account
  • paid time off
  • up to 12 paid holidays
  • Fulltime
Read More
Arrow Right

Sr. Applied Scientist, Trustworthy Shopping Experience (TSE)

Are you passionate about solving complex business problems at scale through Gene...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team
Job Responsibility
Job Responsibility
  • Design and build next-generation agentic AI systems that think, plan, and act—capable of multi-step reasoning, dynamic tool use, and autonomous task execution that transforms how investigations are conducted
  • Invent novel solutions across the AI frontier: autonomous reasoning, self-supervised representation learning, few-shot adaptation, feedback-driven optimization, and multimodal intelligence
  • Develop deep expertise in research areas strategic to the organization while maintaining solid understanding across adjacent domains
  • Identify and frame ill-defined customer and business problems, devising new research methodologies using a customer-obsessed scientific approach
  • Tackle ambiguous, high-impact challenges where the problem itself isn't yet fully defined—and shape the science roadmap that solves them
  • Automate complex investigation workflows involving unstructured text, documents, images, symbols, and rich relational data—directly impacting hundreds of millions of customers
  • Anticipate and articulate key scientific challenges of current and future customer needs, proactively presenting interventions to address them
  • Drive ideas from whiteboard sketch to production system—prototype rapidly, iterate relentlessly, and deploy solutions that scale
  • Engineer efficient, production-ready systems by distilling models into lightweight, cost-effective deployments without sacrificing capability
  • Build a proven track record of repeatedly delivering innovative, impactful scientific solutions into production
Read More
Arrow Right

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
dialpad.com Logo
Dialpad
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
  • Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
  • Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
  • Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
  • Proven track record of deploying LLM-based applications at scale
  • Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
  • Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
  • Proven ability to use Python or Node.js for scripting and building middleware or connectors
  • Experience with fine-tuning of models for specific deployment constraints
  • Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive
Job Responsibility
Job Responsibility
  • Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
  • Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
  • Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
  • AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
  • Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
  • Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
  • Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
  • Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
  • Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
  • Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development
What we offer
What we offer
  • Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
  • We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
  • Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success
Read More
Arrow Right

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...
Location
Location
Canada , Kitchener
Salary
Salary:
Not provided
dialpad.com Logo
Dialpad
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
  • Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
  • Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
  • Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
  • Proven track record of deploying LLM-based applications at scale
  • Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
  • Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
  • Proven ability to use Python or Node.js for scripting and building middleware or connectors
  • Experience with fine-tuning of models for specific deployment constraints
  • Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive
Job Responsibility
Job Responsibility
  • Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
  • Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
  • Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
  • AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
  • Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
  • Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
  • Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
  • Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
  • Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
  • Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development
What we offer
What we offer
  • Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
  • We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
  • Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success
Read More
Arrow Right

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...
Location
Location
United States , Denver
Salary
Salary:
119200.00 - 151000.00 USD / Year
dialpad.com Logo
Dialpad
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
  • Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
  • Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
  • Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
  • Proven track record of deploying LLM-based applications at scale
  • Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
  • Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
  • Proven ability to use Python or Node.js for scripting and building middleware or connectors
  • Experience with fine-tuning of models for specific deployment constraints
  • Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive
Job Responsibility
Job Responsibility
  • Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
  • Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
  • Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
  • AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
  • Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
  • Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
  • Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
  • Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
  • Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
  • Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development
What we offer
What we offer
  • Competitive benefits and perks
  • Robust training program
  • Inclusive office environment
  • Recognized Great Place to Work culture
  • Fulltime
Read More
Arrow Right

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...
Location
Location
United States , Austin
Salary
Salary:
Not provided
dialpad.com Logo
Dialpad
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
  • Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
  • Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
  • Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
  • Proven track record of deploying LLM-based applications at scale
  • Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
  • Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
  • Proven ability to use Python or Node.js for scripting and building middleware or connectors
  • Experience with fine-tuning of models for specific deployment constraints
  • Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive
Job Responsibility
Job Responsibility
  • Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
  • Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
  • Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
  • AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
  • Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
  • Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
  • Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
  • Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
  • Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
  • Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development
What we offer
What we offer
  • Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
  • We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
  • Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success
Read More
Arrow Right