AI Development Architect
Listed on 2025-12-19
-
IT/Tech
AI Engineer
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 is both internal-facing (team enablement, tooling, automation) and customer-facing (consulting, advisory, adoption leadership), serving as the strategic anchor for AI-driven SDLC modernization.
Key Responsibilities (Short Version)- 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++ / Python allowed)
- Proven track record building scalable enterprise applications
- Expertise in GenAI technologies including LLMs, embeddings, 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 & 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
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