NLP PEOPLE
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) Job Overview
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. Must‑Have Qualifications
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 (LangChain or similar) Deep understanding of SDLC and Agile Strong customer‑facing communication & consulting experience Bachelor’s degree in Engineering (BE preferred, CS strongly preferred) Nice‑to‑Have Qualifications
Practical experience fine‑tuning open‑source LLMs Experience in building enterprise‑scale automation frameworks Strong workshop facilitation and presentation abilities Company
Mogi I/O : OTT/Podcast/Short Video Apps for you
#J-18808-Ljbffr
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) Job Overview
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. Must‑Have Qualifications
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 (LangChain or similar) Deep understanding of SDLC and Agile Strong customer‑facing communication & consulting experience Bachelor’s degree in Engineering (BE preferred, CS strongly preferred) Nice‑to‑Have Qualifications
Practical experience fine‑tuning open‑source LLMs Experience in building enterprise‑scale automation frameworks Strong workshop facilitation and presentation abilities Company
Mogi I/O : OTT/Podcast/Short Video Apps for you
#J-18808-Ljbffr