Lead Architect – RAG- Enterprise Systems

Location: New York / New Jersey / Santa Clara / Dallas (Hybrid or On‑site as required)

Work Type: Full‑Time, Permanent

Experience

Required:

8–12 Years

Compensation: USD 130,000–160,000 (plus 10% variable)

Eligibility: USC / GC / L2 / H4 EAD / H1 (GC processing after 24 months)

Looking for a seasoned Technical Architect to lead the integration of Generative AI across the Software Development Life Cycle. The role blends deep engineering expertise with AI innovation, focusing on transforming how enterprise applications are designed, built, tested and deployed. The position serves both internal‑facing (team enablement, tooling, automation) and customer‑facing (consulting, advisory, adoption leadership) functions, acting as the strategic anchor for AI‑driven SDLC modernization.

• Design AI‑Enabled SDLC Frameworks:
  Embed GenAI across requirements, design, coding, testing and deployment.
• Enable Internal Teams:
  Identify GenAI use cases, deliver training and support engineering teams to boost productivity.
• Build Custom AI Tools:
  Develop LLM‑based solutions, RAG systems, AI agents and vector‑database‑powered automation.
• Fine‑Tune LLMs (Good to have):
  Adapt open‑source models to internal codebases for domain‑specific tasks.
• Drive Innovation:
  Evaluate emerging GenAI tools, introduce new practices and shape AI adoption strategies.
• Advise Customers:
  Lead assessments, workshops and solution design for AI‑driven SDLC transformation.
• Lead Adoption Programs:
  Partner with customers to build adoption roadmaps, run hands‑on sessions and guide engineering teams through GenAI enablement.

• 8–12 years in software development with experience as a Technical Lead/Architect
• Strong hands‑on coding skills (Java, .Net, C++ or Python)
• Proven track record building scalable enterprise applications
• Expertise in GenAI technologies including LLMs, embeddings and vector databases
• Prior experience building RAG architectures
• Experience with AI agent frameworks (Lang Chain or similar)
• Deep understanding of SDLC and Agile
• Strong customer‑facing communication and consulting experience
• Bachelor’s degree in Engineering (BE preferred, CS strongly preferred)

• Practical experience fine‑tuning open‑source LLMs
• Experience in building enterprise‑scale automation frameworks
• Strong workshop facilitation and presentation abilities

Mid‑Senior level

Full‑time

Design, Art/Creative, and Information Technology

Software Development