Role Overview

We are seeking a hands-on Senior AI Solutions Architect / Forward Deployed Engineer (FDE) with 8-12 years of experience to design, build, deploy, and scale enterprise AI solutions. The role combines AI engineering, solution architecture, enterprise integration, and direct customer ownership from business discovery and architecture through production deployment and optimization.

Core Responsibilities

AI Architecture & Solution Design

- Design scalable, secure, production-ready AI/ML and Generative AI architectures.
- Architect solutions using LLMs/SLMs, RAG, Agentic AI, AI agents, embeddings, vector databases, and retrieval systems.
- Translate business requirements into technical architectures, technology choices, and implementation roadmaps.
- Balance performance, latency, scalability, security, and cost when selecting models and architectures.

Customer-Facing / FDE Ownership

- Work directly with enterprise customers and senior stakeholders to identify high-value AI opportunities.
- Own delivery from discovery and POC through production deployment, adoption, and optimization.
- Lead architecture workshops, technical discussions, solution demos, and customer presentations.
- Bridge customer requirements with engineering/product teams and rapidly validate solutions in real-world environments.

Hands-On AI Engineering

- Build production-grade AI applications using Python and modern AI/ML frameworks.
- Develop RAG pipelines covering ingestion, chunking, embeddings, indexing, retrieval, reranking, context management, and evaluation.
- Build and orchestrate AI agents and workflows using LangChain, LangGraph, or equivalent frameworks.
- Work with LLM/SLM APIs, open-source models, fine-tuning, inference optimization, and model evaluation.
- Develop APIs, backend services, and scalable data pipelines for enterprise AI applications.

Enterprise Deployment & Integration

- Integrate AI solutions with ERP, CRM,



ITSM/ticketing systems, databases, business applications, and third-party APIs.
- Deploy solutions using Docker, Kubernetes, and major cloud platforms such as AWS, Azure, or GCP.
- Work with GPU infrastructure, model serving, inference optimization, scalability, latency, and cost optimization.
- Implement AI observability, monitoring, evaluation, and production performance measurement.

Technical Leadership

- Drive architecture decisions, engineering standards, reusable patterns, and AI development frameworks.
- Mentor engineers and provide technical direction across AI and software engineering initiatives.
- Create reusable AI playbooks, accelerators, frameworks, and best practices.
- Stay current with Generative AI, Agentic AI, LLMs, AI infrastructure, and enterprise AI architecture.

Must-Have Skills

- 8–12 years of overall software/technology experience with significant AI/ML and/or enterprise architecture experience.
- Strong customer-facing technical delivery and enterprise stakeholder management — proven ability to independently lead discovery sessions and technical conversations with senior business stakeholders.
- Production experience with Generative AI, RAG, LLMs/SLMs, embeddings, retrieval systems, and/or Agentic AI.
- Strong hands-on Python development.
- LangChain and/or LangGraph experience.
- Strong software architecture and AI system design capabilities.
- Experience taking AI solutions from POC/prototype to production.
- Cloud deployment plus Docker/Kubernetes experience.




- Experience integrating with at least one major enterprise system: ERP, CRM, ITSM/ticketing, database, or business API.

Preferred Qualifications

- Palantir Foundry Certification (Application Developer / Data Engineer track — covering AIP, Ontology).
- Hands-on experience with Palantir Foundry / AIP.
- GPU optimization and large-scale model inference.
- AI evaluation frameworks and production observability.
- Fine-tuning and preference optimization of open-source or proprietary models (LoRA, QLoRA, PEFT, distillation, DPO, GRPO).
- Experience building reusable AI platforms, accelerators, or internal frameworks.
- Domain experience in Banking & Finance (preferred) or Energy & Utilities.
- Exposure to multiple enterprise domains or industries.
- Strong executive-level communication and presentation skills.

Ideal Candidate

We're looking for a hands-on AI architect who operates at the intersection of technology, architecture, and customer engagement — someone who can walk into a customer environment, understand the business problem, design the AI solution, build and integrate it, take it to production, and keep improving its performance and business impact. This is customer-facing ownership, not internal development or architecture documentation alone.

The right candidate will demonstrate:

- Explicit, end-to-end ownership: business problem architecture prototype production.
- Strong coding ability alongside architecture and system-design skills.
- The ability to make, explain, and defend technical architecture decisions.
- Proven stakeholder management — comfortable independently driving discovery sessions and technical conversations with senior business stakeholders, not just engineering teams.
- A track record of operating AI systems in production with measurable business impact.
- The ability to communicate effectively across both technical and business audiences.

📌 FORWARD DEPLOYED AI ENGINEER (FDE) (Chennai)
🏢 D2R AI Labs
📍 Chennai