What are the responsibilities and job description for the AI Technical Lead position at Mindlance?
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.