AI Technical Lead

Position Summary: Title: Developer Standard III
Duration: 6 Months - Long Term
Location: Washington, DC 20433 Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon Required Qualifications:

• Master s degree in computer science, Information Technology, Data Science, Artificial Intelligence, Engineering, or related discipline.
• Minimum 10 years of professional experience in software engineering and enterprise solution delivery .
• Minimum 5 years of experience in cloud architecture and modern application development.
• Demonstrated experience delivering AI/ML and Generative AI solutions in large enterprises.
• Proven experience leading cross-functional engineering teams. Experience delivering solutions using Agile and Scrum methodologies.

Technical Expertise Artificial Intelligence:

• Large Language Models (GPT, Claude, Gemini, Azure OpenAI, or equivalent).
• Agentic AI architectures.
• Multi-agent systems.
• Prompt Engineering and Context Engineering.
• Retrieval-Augmented Generation (RAG).
• Semantic Kernel, LangGraph, AutoGen, CrewAI, MCP, or equivalent frameworks.
• NLP, sentiment analysis, classification, summarization, and knowledge management.

Cloud & Platforms:

• Microsoft Azure (preferred).
• AI Foundry, Azure OpenAI.
• AKS, Containers, Serverless Functions.
• Azure Storage, Cosmos DB, SQL Database.
• DevOps, CI/CD pipelines, Infrastructure as Code.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Software Development

• .NET/C#, Python, JavaScript/TypeScript.
• REST APIs and microservices.
• Enterprise integration patterns.
• Full SDLC experience.

Preferred Qualifications:

• Experience designing Agentic AI solutions for Incident Management, Service Management, Grievance Management, Environmental & Social systems, or enterprise workflow automation.
• Experience with Responsible AI, AI Governance, and model monitoring.
• Microsoft Azure AI certifications and Scrum certifications.
• Experience designing AI-enabled digital platforms for large international organizations, development institutions, or regulated industries.