Applied AI Engineer, Enterprise GenAI Job at Scale (San Francisco)

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...

Location

United States , San Francisco; New York

Salary:

285200.00 - 356500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications
6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products
Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design
Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling
Strong technical judgment across software engineering, system design, and applied ML fundamentals
Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
Bachelor’s degree required
Master’s or PhD in Computer Science or a related field strongly preferred

Job Responsibility

Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value
Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models
Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts
Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries
Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models
use these insights to influence internal research, product roadmaps, and customer strategy
Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution
Influence the broader AI ecosystem: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

GenAI Engineering Lead

We are seeking an exceptional and highly motivated GenAI Tech Lead to join our d...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions, with a specific focus on GenAI adoption and Agentic AI for business process automation
Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued
Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant
Strong theoretical and practical understanding of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies
Proficiency with transformers, agentic frameworks, vector stores, and advanced search algorithms
Hands-on experience with Retrieval Augmented Generation (RAG) implementations
Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask
Extensive experience with data analysis and manipulation using tools like SQL and Pandas
Proficiency in database technologies including Oracle, Postgres, or MongoDB
Proven experience in designing and implementing robust REST and WebSocket APIs

Job Responsibility

Strategic Leadership & GenAI Adoption: Drive the identification, evaluation, and adoption of emerging Generative AI technologies and tools to develop innovative solutions and enhance existing platforms. Actively design, develop, and implement AI/ML solutions within financial applications, with a strong emphasis on practical GenAI adoption. This includes hands-on coding, prototyping, and deploying GenAI solutions
Agentic AI for Business Process Automation: Lead the end-to-end design, prototyping, and implementation of Agentic AI solutions focused on automating critical business processes, ensuring they address business needs and scale effectively across the enterprise. This includes designing and implementing Retrieval Augmented Generation (RAG) systems to enhance accuracy and contextuality, especially for financial data
Chatbot Development: Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources and unstructured data, leveraging GenAI for natural language understanding and generation in complex conversational flows
Document Processing & OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models
Text-to-SQL Implementation: Develop and deploy solutions leveraging Large Language Models to facilitate Text-to-SQL capabilities, enabling users to generate SQL queries from natural language requests, thus simplifying data access and analysis from structured databases
Data Analysis & Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities for data augmentation or synthetic data generation, particularly relevant for Agentic AI applications
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps, incorporating GenAI and Agentic AI possibilities into discussions
System Enhancements & Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI and Agentic AI components seamlessly
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI and Agentic AI where they can offer innovative solutions

Fulltime

Senior Applied AI Engineer

Microsoft is seeking a Senior Applied AI Engineer to join a pioneering team focu...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
8+ years of professional software development experience with at least one of the following: C#, C++, or Java
8+ years of professional experience building cloud applications, preferably full stack
3+ years of experience with GenAI, LLMs, or agentic systems
Experience designing and implementing enterprise-scale services
Experience delivering Dynamics 365 and/or Power Platform solutions is desirable
Experience in agentic AI development and leveraging AI tools for development
Verbal, written, and cross-team collaboration skills

Job Responsibility

Design, build, and ship AI-powered software systems leveraging generative AI, LLMs, and agentic reasoning frameworks
Develop and integrate autonomous AI agents capable of task decomposition, multi-step planning, memory, tool usage, and dynamic decision-making across enterprise workflows
Apply state-of-the-art techniques including foundation models, prompt engineering, retrieval-augmented generation (RAG), multi-agent architectures, and classical machine learning where appropriate
Fine-tune and adapt foundation models using domain-specific data, and evaluate model behavior across relevance, quality, hallucination, bias, latency, and cost
Build rapid prototypes and translate them into production-grade systems, contributing to deployment, debugging, monitoring, and operational excellence
Design and implement evaluation frameworks and automated evaluators, using offline experiments, shadow testing, online experimentation, and telemetry to measure impact and guide iteration
Partner closely with product managers, researchers, and engineers to bring agentic capabilities into Microsoft’s business and productivity platforms
Write high-quality, well-documented, and maintainable code, along with clear technical design specifications
Mentor engineers and contribute to raising the overall engineering and applied AI bar across the team
Apply Responsible AI principles throughout the development lifecycle, proactively identifying and mitigating risks related to fairness, bias, privacy, security, and misuse

Fulltime

Software Engineer, Enterprise

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of e...

Location

United Kingdom , London

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability
Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS
Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform
Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications
Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production
Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments
Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments
Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale

Job Responsibility

Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure
Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption
Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads
Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments
Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments
Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks
Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready

Senior AI Engineer

The Senior AI Engineer at NTT DATA will be responsible for designing and deployi...

Location

South Africa , Johannesburg

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Postgraduate level qualification (Honours or Masters) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics or a related field
Alternatively, equivalent practical experience delivering AI or machine learning solutions in enterprise environments
Strong proficiency in Python for AI and machine learning development
Solid understanding of machine learning fundamentals and evaluation techniques
Hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
Experience working with Generative AI and LLMs in practical use cases
Strong data handling skills, including SQL and data querying
Experience deploying models or AI services into production environments
Experience with vector databases and embeddings (e.g., for RAG architectures)
Experience with cloud platforms (Azure preferred

Job Responsibility

Design and develop Generative AI solutions, including LLM-based applications
Implement techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning
Develop and evaluate machine learning models across supervised, unsupervised, and NLP use cases
Optimise model performance, reliability, and cost efficiency for enterprise environments
Work with structured and unstructured data sources (databases, APIs, documents, transcripts, logs)
Collaborate with data engineers to support data ingestion, preparation, and transformation pipelines
Ensure AI solutions are scalable, maintainable, and aligned with software engineering best practices
Package and deploy AI and GenAI solutions into production (APIs, services, batch workflows)
Support cloud-based deployments, primarily on Microsoft Azure, including Azure OpenAI and Azure AI services
Apply MLOps and LLMOps practices such as versioning, monitoring, evaluation, and continuous improvement

Fulltime

Data Scientist Specialist

We are seeking a highly experienced Data Scientist Specialist with deep expertis...

Location

United States , McLean

Salary:

Not provided

Apex Systems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
Extensive experience in AI/ML, including 3+ years in applied GenAI or LLM-based solutions
Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models
Proven experience with AWS cloud-native AI development (SageMaker, Bedrock, MLFlow/Kubeflow on EKS)
Strong programming skills in Python and ML/LLM libraries (Transformers, LangChain, etc.)
Strong understanding of GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails
Demonstrated success working in cross-functional, agile teams
GitHub code repository link required for candidate evaluation

Job Responsibility

Architect and implement GenAI systems: Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases
Model development & optimization: Fine-tune and optimize lightweight LLMs
evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives
RAG & GraphRAG architectures: Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases
Enterprise data curation: Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch
Agent interoperability: Implement solutions leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Experimentation & ML platforms: Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS)
Cross-functional collaboration: Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences
Enterprise integration: Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns
Evaluation & safety: Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment

What we offer

medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions

Gen AI Technical Lead

We are seeking an experienced AI Technical Lead to design, build, and scale AI s...

Location

United States , Frederick

Salary:

150000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience
3+ years in applied AI/ML engineering
Strong proficiency in Python, AI frameworks (PyTorch, TensorFlow), and API-driven development
Hands-on expertise with GenAI, LLM orchestration frameworks, RAG pipelines, and vector databases (Pinecone, FAISS, Azure AI Search)
Experience developing Agentic AI using tools/functions integration, planning agents, workflows, or multi agent systems
Deep understanding of cloud platforms: Preferably Azure, including ML Ops and containerization (Docker, Kubernetes)
Solid understanding of system design, distributed computing, microservices, and API architecture

Job Responsibility

Lead the design and development of Generative AI solutions using LLMs, multimodal models, and diffusion models
Build and maintain Agentic AI systems, including autonomous agents, tools integration, reasoning frameworks, and multi-agent workflows
Develop production-grade AI components using strong engineering principles: modularity, maintainability, observability, and testing
Optimize models for performance, latency, and cost using techniques like quantization, distillation, and retrieval augmentation
Design scalable, secure, and compliant AI solutions aligned with enterprise engineering standards
Ensure adherence to best practices in software development, version control, CI/CD, containerization, and LLMOps/MLOps
Lead development of applications using LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, etc.)
Build RAG pipelines, vector-based retrieval systems, and knowledge grounding solutions
Create autonomous and semi-autonomous AI agents capable of task execution, planning, and reasoning
Drive experimentation with new GenAI techniques—prompt engineering, tool use, function calling, fine-tuning, and model fine-tuning

Fulltime

Vice President, Global Communications

Neo4j is seeking a seasoned Vice President of Global Communications to lead our ...

Location

United States

Salary:

Not provided

Creandum

Expiration Date

Until further notice

Requirements

A track record of progressive communications leadership roles in high-growth enterprise technology companies, preferable as data, AI, infrastructure, Saas, database, or platform technologies
Demonstrated ability to drive a global communications function aligned to aggressive business and brand outcomes
Ability to comprehend and distill complex technical concepts, including graph data, knowledge representation, agentic systems, AI infrastructure, and GenAI, and translate them into clear, concise, compelling narratives for multiple audiences
Strong, established relationships with top-tier media, analysts, influencers, agencies, and industry stakeholders, especially within AI, enterprise software, and data infrastructure
Strong analytical and critical reasoning skills
able to use data and insights to inform strategy, shape narratives, assess impact, and optimize communications performance
Ability to apply GenAI tools and principles to improve content velocity, insights, and communications scalability
Experience leading internal teams and external agencies in fast-paced, high-growth, or category-creating environments
Proven ability to collaborate cross-functionally, influence without authority, and build strong partnerships across executive, product, engineering, and go-to-market teams
Strong project management skills

Job Responsibility

Direct all global communications functions, including media and analyst relations, executive communications, public relations, thought leadership, corporate storytelling, internal communications, reputation and crisis management, and issues response
Drive a unified, high-impact narrative positioning Neo4j as the critical knowledge infrastructure for GenAI, enterprise agents, and intelligent applications
Collaborate with senior leadership to drive the company’s story and consistent messaging that elevates Neo4j as the graph database and intelligence platform and the default knowledge layer for agentic systems
Ensure technical precision and clarity in how Neo4j explains graph intelligence, agent architectures, vector and symbolic reasoning, and the convergence of structured knowledge with GenAI
Advance Neo4j’s thought leadership agenda across industries, functions, and global markets—placing Neo4j at the center of conversations about AI safety, knowledge grounding, agent reliability, and enterprise adoption of GenAI
Position Neo4j’s executives as influential industry voices on GenAI, graph intelligence, responsible AI, and enterprise digital transformation
Design and execute communications strategies that elevate awareness of Neo4j’s innovations, customer impact, and industry leadership as essential to agentic systems, decision automation, and knowledge-centric AI
Ensure messaging is precise, deeply informed by technical understanding, and translated into clear, concise, compelling language accessible to diverse audiences
Lead crisis communications and reputation programs to anticipate, mitigate, and manage risk—protecting Neo4j’s brand as it scales its influence in AI-critical markets
Coach and mentor executives and internal partners to ensure alignment on messaging, positioning, tone, and narrative discipline

Applied AI Engineer, Enterprise GenAI

Scale

Location:
United States , San Francisco ▼
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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