CrawlJobs Logo

Partner AI Deployment Engineer

openai.com Logo

OpenAI

Location Icon

Location:
United States , San Francisco

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

197000.00 - 278000.00 USD / Year

Job Description:

The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner ADE, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

Job Responsibility:

  • Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers
  • Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap
  • Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance
  • Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications
  • Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners
  • Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions
  • Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases
  • Validate, synthesize, and deliver high-signal feedback to the Product and Research teams

Requirements:

  • 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations
  • Have led complex technical projects and programs with many stakeholders, ideally within or through an SI
  • Have industry experience in programming languages like Python or Javascript
  • Have led complex implementations of Generative AI and/or traditional ML solutions
  • Have built and/or delivered prototypes using the OpenAI API
  • Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders
  • Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done
  • Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
What we offer:
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
  • Offers Equity
  • Performance-related bonus(es) for eligible employees

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Partner AI Deployment Engineer

AI Deployment Engineer

Crescendo is hiring an AI Deployment Engineer to manage technical implementation...
Location
Location
United States
Salary
Salary:
Not provided
crescendo.ai Logo
Crescendo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-6 years of experience building and deploying conversational AI solutions (voice and chat bots)
  • 4-6 years of experience in a customer-facing implementation or consulting role, preferably in B2B SaaS or enterprise software
  • Experience integrating AI solutions with support CRMs such as Zendesk, Gorgias, and Kustomer, including configuring workflows, ticketing logic, and data handoffs between systems
  • Demonstrate strong practical knowledge of web technologies, including HTML, CSS and JavaScript
  • Excellent communication, presentation, and interpersonal skills, with the ability to influence and persuade C-suite leaders and stakeholders
  • Demonstrated ability to collaborate with cross-functional teams and stakeholders to achieve shared goals
  • Excellent project management and organizational skills, with the ability to prioritize and delegate tasks effectively
  • Strong analytical and problem-solving abilities
Job Responsibility
Job Responsibility
  • Collaborate with customers and pre-sales teams to understand requirements through detailed discovery and information gathering
  • Work with Engineering and Product teams to review the scope, discuss CX design options, identify potential risks and establish timelines
  • Design, build, and deploy the CX bot
  • Collaborate with design engineering teams and the Partner to connect the Partner’s knowledge sources to the platform
  • Develop, test, and implement the models to enhance bot accuracy, performance and stability
  • Integrate bot with existing systems and platforms to provide seamless user experiences
  • Facilitate User Acceptance Testing with the Partner to validate the deployment
  • Oversee the bot's deployment to the production environment, ensuring a smooth launch
  • Continuously monitor and optimize bot performance, adjusting based on user feedback and analytics
  • Create operating procedures for support associates and ensure successful completion of their training on support systems and the AI bot
What we offer
What we offer
  • Take on challenges that actually move the needle in an industry ready for change
  • Earn competitive pay while building a career with endless opportunities
  • Enjoy remote work with the focus and flexibility to do your best work
  • Grow in an environment that rewards ambition and sharp execution
  • Thrive in a team environment where collaboration is the foundation of your success
  • Fulltime
Read More
Arrow Right

Principal Forward Deployed Engineer, AI

As a Principal Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the fo...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 10+ years of experience in backend software development
  • 5+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
Read More
Arrow Right

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...
Location
Location
France , Paris
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in AI/ML or software engineering
  • Proven track record building AI agents using LLMs, RAG, MCP and related technologies
  • Strong technical proficiency in Python and multiple programming languages, with architectural design experience
  • Production deployment expertise - you've shipped AI solutions to real users
  • Technical pragmatism - ability to match the right technology to the use case
  • Curiosity and continuous learning - you stay current with AI/ML trends
  • 1+ years experience as a Lead or management roles (team management or technical leadership)
  • Strong leadership skills - you inspire and develop high-performing engineering teams
  • Cross-functional stakeholder management - you build relationships and excel at working with all organizational levels & functions
  • Strong communication & presentation skills - in both English and French
Job Responsibility
Job Responsibility
  • Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
  • Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
  • Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
  • Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
  • Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
  • Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch
Read More
Arrow Right

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...
Location
Location
United States , Redwood City; San Francisco
Salary
Salary:
172000.00 - 300000.00 USD / Year
snorkel.ai Logo
Snorkel AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
  • 3+ years of customer-facing experience in the design and implementation of AI/ML solutions
  • Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
  • Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
  • Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
  • Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Job Responsibility
Job Responsibility
  • Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
  • Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
  • Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
  • Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
  • Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
  • Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
  • Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
  • Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
  • Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
  • Annual travel up to 25%
What we offer
What we offer
  • equity in the form of employee stock options
  • Fulltime
Read More
Arrow Right

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...
Location
Location
France
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in AI/ML or software engineering
  • Proven track record building AI agents using LLMs, RAG, MCP and related technologies
  • Strong technical proficiency in Python and multiple programming languages, with architectural design experience
  • Production deployment expertise - you've shipped AI solutions to real users
  • Technical pragmatism - ability to match the right technology to the use case
  • Curiosity and continuous learning
  • 1+ years experience as a Lead or management roles (team management or technical leadership)
  • Strong leadership skills
  • Cross-functional stakeholder management
  • Strong communication & presentation skills - in both English and French
Job Responsibility
Job Responsibility
  • Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
  • Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
  • Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
  • Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
  • Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
  • Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch
Read More
Arrow Right