Title: Sr. Generative AI / Data Scientist Architect
Duration: 8 Months - Long Term
Location: Washington, DC 20433
Hybrid Onsite: 3/4 Days per week onsite from Day1 Job Description: We are seeking a
GenAI/ Data Scientist Architect with deep expertise in
Generative AI and Agentic AI to join our enterprise team.
The ideal candidate should bring a blend of
solution architecture, hands-on AI/ML development, and prior full-stack development (Java or .NET) experience to design and deliver scalable, secure, and cost-efficient AI solutions.
Key Responsibilities:
- Architect and deliver enterprise-scale AI/GenAI solutions with a strong focus on scalability, security, and cost governance.
- Design and implement RAG pipelines, vector databases, LLM-based applications, and orchestration frameworks.
- Provide guidance on fine-tuning, embeddings, and transformer-based models for enterprise use cases.
- Collaborate with cross-functional teams (data science, engineering, product, cloud) to ensure successful delivery.
- Stay updated on emerging Agentic AI frameworks, orchestration tools, and enterprise AI best practices.
Key Requirements:
- Proven experience in architecting and delivering AI/GenAI solutions in enterprise environments.
- Hands-on expertise with LLMs, RAG, vector databases, embeddings, and orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
- Solid understanding of transformers, model fine-tuning, and prompt engineering.
- Experience with cloud platforms (Azure preferred, AWS/GCP acceptable).
- Strong knowledge of enterprise-grade security, scalability, and cost optimization.
- Strong background as a Full-Stack Developer (Java or .NET) earlier in career.
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.