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AI Solutions Architect Agentic AI Platforms

Talentgigs Verified employer

Actively hiring · Posted 28d ago · JEV2610B26A294385

SalarySalary not disclosed
Experience8–18 yrs
LocationChennai, Tamil Nadu
Work modeHybrid · Full time
Openings1
IndustryIT Services & Consulting

Job description

Principal AI Solutions Architect Enterprise AI & Agentic Platforms

Location

Chennai, India

Experience

818+ Years

We are seeking an exceptional Principal AI Solutions Architect to lead the design, implementation, and scaling of enterprise-grade AI, Generative AI, Agentic AI, and Intelligent Automation platforms that will drive the future of our engineering and product ecosystem.

Role Overview

This is a hands-on architecture and leadership role responsible for defining and executing Solartis enterprise AI strategy.

The ideal candidate will possess deep expertise in LLMs, SLMs, RAG architectures, AI Agents, Agentic AI systems, AI orchestration frameworks, enterprise AI governance, and production-scale AI platform development.

This role requires a rare combination of architecture leadership, hands-on engineering expertise, business understanding, and AI innovation capabilities.

The individual will work closely with Engineering, Product, Operations, Architecture, Customer Success, and Executive Leadership teams to transform traditional enterprise platforms into AI-powered intelligent systems.

Key Responsibilities

Enterprise AI Strategy & Architecture

Define and drive the enterprise AI architecture roadmap.

Develop AI transformation strategies aligned with business objectives.

Establish AI reference architectures, standards, governance models, and best practices.

Drive adoption of AI-first design principles across products and engineering teams.

RAG & Knowledge Systems

Design and implement enterprise-grade Retrieval Augmented Generation (RAG) platforms.

Architect knowledge repositories, vector databases, semantic search systems, and enterprise knowledge assistants.

Optimize retrieval quality, grounding accuracy, hallucination prevention, and response relevance.

Build scalable knowledge management ecosystems leveraging structured and unstructured data.

Agentic AI & Multi-Agent Systems

Design and implement autonomous AI Agent and Multi-Agent architectures.

Build intelligent workflows capable of planning, reasoning, orchestration, execution, and decision support.

Implement Agentic AI frameworks for software development, testing, support, customer operations, underwriting, claims processing, and business workflows.

Establish agent governance, monitoring, security, and observability practices.

Large Language Models & Small Language Models

Evaluate, benchmark, and optimize LLMs and SLMs across business use cases.

Design hybrid AI architectures combining proprietary, open-source, and commercial models.

Implement model selection, routing, orchestration, fine-tuning, and optimization strategies.

Lead model performance, cost optimization, and inference efficiency initiatives.

AI Engineering & Platform Development

Build scalable AI platforms supporting enterprise-wide adoption.

Develop reusable AI services, frameworks, accelerators, SDKs, and APIs.

Establish AI MLOps, LLMOps, and AgentOps practices.

Design AI observability, monitoring, evaluation, and governance capabilities.

AI-Powered Engineering Transformation

Drive AI-assisted software development initiatives.

Implement AI-powered code generation, code review, testing, documentation, and DevOps solutions.

Establish AI-driven SDLC workflows and engineering productivity frameworks.

Partner with engineering leadership to build AI-enabled development organizations.

Innovation & Emerging Technologies

Continuously evaluate emerging AI technologies and industry trends.

Drive innovation programs, proofs of concept, and technology incubation initiatives.

Provide thought leadership to executive management and engineering teams.

Required Qualifications

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related discipline.

12+ years of software engineering, architecture, and enterprise platform experience.

5+ years of hands-on AI/ML architecture experience.

Proven experience designing and deploying enterprise AI solutions in production environments.

Mandatory Technical Expertise

Generative AI

OpenAI

Azure OpenAI

Anthropic Claude

Gemini

Llama

Mistral

DeepSeek

Open-source foundation models

RAG Platforms

LangChain

LangGraph

LlamaIndex

Vector Databases

Pinecone

Weaviate

Chroma

Azure AI Search

Agentic AI

Multi-Agent Systems

AI Agent Frameworks

Agent Orchestration

Agent Planning & Reasoning

Agent Memory Architectures

Agent Governance

AI Platform Engineering

LLMOps

MLOps

AgentOps

Prompt Engineering

Model Evaluation

Fine-Tuning

Embeddings

Knowledge Graphs

Cloud & Enterprise Platforms

OCI

Azure

AWS

GCP

Kubernetes

Containers

API Platforms

Event-Driven Architectures

Programming

Python

.NET

REST APIs

Microservices

Distributed Systems

Preferred Qualifications

Experience in Insurance .

Key skills

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