Senior Generative AI Engineer / AI Agent Developer
Join a forward-thinking organization at the forefront of enterprise AI innovation as a Senior Generative AI Engineer / AI Agent Developer. This pivotal role offers the opportunity to design, develop, and deploy cutting-edge AI agents and workflows that address complex business challenges. You will be integral to building scalable, enterprise-grade AI solutions, working closely with cross-functional teams to drive AI strategy and platform capabilities, all within a dynamic, fast-paced environment.
Key Responsibilities:
- Architect, develop, and deploy AI agents and agentic workflows leveraging modern Generative AI frameworks.
- Build scalable AI solutions utilizing Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agents.
- Collaborate with business, product, and engineering teams to identify AI use cases and deliver production-ready solutions.
- Evaluate and incorporate emerging AI technologies, frameworks, and tools to enhance solution effectiveness.
- Ensure AI solutions adhere to enterprise standards for security, performance, scalability, and maintainability.
- Help establish enterprise AI standards, platform capabilities, tooling, and best practices in a greenfield environment.
- Partner with stakeholders across enterprise architecture and engineering to enable and govern AI deployment.
Required Skills:
- Hands-on experience with Microsoft Azure AI Foundry, Azure AI services, and deploying enterprise AI solutions.
- Proven expertise in building, testing, and deploying AI agents within enterprise environments.
- Strong understanding of Large Language Models (LLMs), prompt engineering, AI workflow orchestration, tool calling, and agent architectures.
- Proficiency in Python and modern AI/ML development practices.
- Experience with AI-assisted development platforms such as Claude, GitHub Copilot, Cursor, Windsurf, or Slingshot.
- Solid software engineering fundamentals including API integration and system design.
- Ability to operate effectively in a greenfield environment and establish enterprise AI standards.
Nice to Have Skills:
- Experience with cloud-native AI architectures and MLOps best practices.
- Familiarity with agent orchestration and observability frameworks such as LangGraph, LangChain, or LangSmith.
- Experience with AWS Bedrock, Google Cloud AI, or comparable enterprise AI platforms.
- Experience integrating AI solutions with enterprise data platforms and business applications.
Preferred Education & Experience:
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
- Extensive hands-on experience with enterprise AI platform development, deployment, and governance.
- Proven ability to lead AI initiatives and collaborate effectively with technical and business teams.
Other Requirements:
- Must be available to work on-site if within the Boston or Needham area, or open to remote arrangements.
- Ability to start quickly with demonstrated enterprise AI and agent experience.
- Strong communication and collaboration skills to align technical solutions with organizational goals.
- This role is tailored for candidates ready to make an immediate impact and help shape enterprise AI platforms for the future.
