Senior GenAI Engineer & Technical Architect

Role: Senior GenAI Engineer & Technical Architect

Experience: 10–15 Years

Location: Remote / PAN India

Department: AI & Emerging Technologies — Delivery

Job Type: Permanen/Full time

About Trinamix

Trinamix is a leading Oracle consulting and technology solutions organization, specializing in Oracle Cloud transformations across ERP, SCM, HCM, EPM, and CX. Alongside our core Oracle practice, we're building a growing in-house AI Product Suite — including DOCUMANTRA (intelligent document processing), AI MDM (master data management), the Conversion Workbench (AI-powered Oracle Fusion data conversion)— deployed directly into global enterprise environments.

This is a rare seat: you won't just be implementing someone else's product — you'll be architecting, delivering, and owning the customer relationship for products built by your own team.

The Role

We're looking for a Senior GenAI Engineer & Technical Architect who can also lead delivery and own customer success for our AI Product Suite. This is a hybrid, high-ownership role for someone who wants to operate across the full lifecycle — architecture, hands-on engineering, team leadership, and the client relationship — rather than being boxed into just one lane.

You'll lead the end-to-end implementation of our AI products at client sites: architecting the solution, guiding a delivery team through build and deployment, and staying accountable for the client's success and value realization long after go-live. You are the person a client trusts to make their AI investment actually work — technically and commercially.

What Makes This Role Exciting

1. Own the full stack of impact — from solution architecture to sprint delivery to the client's executive steering committee, all in one seat.
2. Work on products, not just projects — DOCUMANTRA, AI MDM, Conversion Workbench, and EDIP are live, evolving products you'll help shape through real client feedback.
3. Lead, don't just execute — you'll build and mentor a delivery team and be the technical face of the AI practice to customers.
4. High-growth, high-visibility — AI is Trinamix's newest and fastest-growing practice; early leaders here will shape how it scales.

Key Responsibilities

Technical Architecture

1. Architect end-to-end solutions for AI Product Suite implementations (DOCUMANTRA, AI MDM, Conversion Workbench, EDIP, and future products), integrated with client Oracle ERP/SCM/HCM/EPM landscapes.
2. Design RAG pipelines, agentic workflows, and LLM integrations (OpenAI, Anthropic Claude, Gemini, and client-hosted/open-source models) suited to enterprise data and security constraints.
3. Make and own key architecture calls — data flow, deployment model (client cloud vs. on-prem vs. Oracle-hosted LLM), scalability, and security — in collaboration with the core product engineering team.

Delivery Management

1. Lead AI product implementations end-to-end: discovery, solution design, build, UAT, go-live, and hypercare.
2. Manage delivery timelines, RAID logs, and status reporting; run client SteerCos with confidence.
3. Lead and mentor a team of AI/GenAI engineers, holding the bar on code quality, architecture discipline, and delivery pace.

Customer Success

1. Act as the primary technical point of contact for clients live on the AI Product Suite — driving adoption, resolving escalations, and identifying expansion opportunities.
2. Translate client business outcomes into product usage and configuration decisions; be the trusted advisor clients turn to, not just an implementation lead they hand off from.
3. Partner with the product team to feed real client learnings back into the roadmap.

Cross-Functional & Pre-Sales

1. Work closely with Oracle ERP, SCM, HCM, EPM, and CX consulting teams to ensure AI solutions complement and extend existing implementations.
2. Support pre-sales: solutioning, effort estimation, and technical presentations for prospective AI Product Suite customers.

What You Bring

Core Experience

1. 10–15 years in software engineering / solution architecture, with 4+ years hands-on in GenAI/LLM-based product development.
2. Track record of leading technical delivery teams through full implementation lifecycles for enterprise customers.
3. Demonstrated experience owning a client relationship post-go-live, not just handing off after deployment.

Technical Skills

1. AI/GenAI: LLMs, RAG, Agentic AI, prompt engineering, function/tool calling, model evaluation and optimization.
2. AI Frameworks: OpenAI, Anthropic Claude, Gemini, LangChain/LangGraph, or equivalent orchestration frameworks.
3. Engineering: Python, FastAPI, React/Node.js, REST APIs, microservices architecture.
4. Data: PostgreSQL, MongoDB, vector databases (Pinecone/Weaviate/Chroma/FAISS or equivalent).
5. Cloud & DevOps: AWS/Azure/GCP or OCI, Docker, Kubernetes, CI/CD.
6. Working knowledge of the Oracle ecosystem (ERP/SCM/HCM/EPM) is a strong plus, not a hard requirement.

Leadership & Client Skills

1. Confident, structured communicator — equally comfortable in an architecture review and an executive steering committee.
2. Strong delivery management fundamentals: planning, RAID management, stakeholder reporting.
3. Genuine customer-success mindset — you measure your work by client outcomes, not just tickets closed.
4. Experience mentoring engineers and setting technical direction for a team.

Education

1. B.Tech / BE / M.Tech in Computer Science, AI, Data Science, or a related discipline (or equivalent experience).

Why Join Trinamix?

1. Lead delivery and own the customer relationship for a real, growing AI Product Suite — not a generic services engagement.
2. Direct influence over product direction through client-facing work.
3. Work alongside a tight-knit team building DOCUMANTRA, AI MDM, Conversion Workbench, and EDIP from the ground up.
4. Remote-first, PAN India, with significant scope for leadership growth as the AI practice scales.
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Mandatory Skills

Python & FastAPI, Generative AI, Large Language Models (LLMs),Machine Learning,MLOps, Agentic AI, RAG Architecture, AI Solution Architecture,Enterprise AI

Experience

10 to 15 years