This is a Permanent Role with Valued Clients of People Impact!

We are looking for a Lead AI Engineer / AI Architect to design and deliver enterprise-scale AI solutions with a focus on Generative AI, Agentic AI, and LLM-based applications. This role will drive AI architecture, establish engineering standards, and lead the development of scalable, secure, and production-ready AI systems.

Key Responsibilities

AI Solution Architecture

• Lead the design and implementation of GenAI and agentic AI solutions.

• Architect multi-agent workflows using LangChain, LangGraph, A2A protocols, and related frameworks.

• Design RAG pipelines, vector search solutions, and context management strategies.

• Develop reusable AI frameworks, components, and best practices.

GenAI Engineering

• Build and optimize LLM-powered applications and AI workflows.

• Drive prompt engineering, token optimization, and response quality improvements.

• Implement safeguards around prompt security, hallucination mitigation, and responsible AI practices.

Platform & Cloud Integration

• Integrate AI solutions with Azure AI Foundry, Azure OpenAI, Databricks, and enterprise platforms.

• Deploy AI services using Docker, Kubernetes, and CI/CD pipelines.

• Ensure performance, scalability, monitoring, and operational reliability.

Technical Leadership

• Mentor AI engineers and provide technical direction across teams.

• Conduct architecture reviews, code reviews, and technical workshops.

• Collaborate with product and business teams to align AI initiatives with organizational goals.

Required Skills

• 6+ years of experience in AI/ML/GenAI development, including 3+ years in a leadership role.

• Strong Python expertise with hands-on experience in:

  • OpenAI APIs

  • LangChain / LangGraph

  • Pydantic

  • Hugging Face Transformers

  • FAISS and Vector Databases

• Experience building and deploying production-grade AI applications.

• Strong knowledge of Azure cloud services, GitHub, CI/CD, and DevOps practices.

Software Engineering Skills

• Strong understanding of data structures, algorithms, design patterns, and system design.

• Experience with distributed systems and microservices architectures.

• Hands-on expertise with Docker and Kubernetes.

• Familiarity with monitoring tools such as Prometheus, Grafana, and ELK Stack.

• Experience in performance optimization and scalability testing.

Preferred Skills

• Experience with MCP, A2A orchestration, and advanced agent frameworks.

• Exposure to AI governance, prompt observability, and compliance tooling.

• Open-source contributions in AI/GenAI technologies.

• Experience conducting architecture reviews and mentoring engineering teams.

• Participation in technical communities, hackathons, or knowledge-sharing initiatives.

Why Join Us?

• Work on cutting-edge GenAI and Agentic AI solutions.

• Influence enterprise AI strategy and architecture.

• Collaborate with high-performing teams in a hybrid work environment.

• Access continuous learning, innovation, and career growth opportunities.