IT Solution Architect - AI

About Infotel Group; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

About Infotel IT Consulting is seeking an experienced IT Solution Architect to lead AI-driven architecture initiatives for enterprise clients. You will design end-to-end architectures that embed AI/ML and Generative AI capabilities across cloud platforms.

The role requires strong cloud experience (Azure, AWS, or GCP), hands-on Python and AI frameworks, containerization, and a client-facing consulting mindset with pre-sales involvement.

Qualifications

• 8–12+ years in IT architecture, solution design, or enterprise development.
• Proven AI/ML, NLP, or Generative AI project experience.
• Strong cloud experience and AI service stacks.
• Hands‑on Python and AI/ML framework exposure.
• Experience with microservices, APIs, and containers.
• Data architecture knowledge including SQL/NoSQL and data lakes.

Responsibilities

• Design end-to-end architectures embedding AI/ML and Generative AI.
• Translate requirements into scalable, secure technical solutions.
• Lead architecture reviews, evaluations, and PoCs for AI-enabled systems.
• Define data integration strategy (APIs, pipelines, data lakes).
• Collaborate with data science, engineering, and DevOps teams.
• Produce HLD/LLD docs and technical proposals for tenders.
• Advise on cloud AI services and open-source AI frameworks.
• Ensure security, compliance, and performance standards.
• Present architecture recommendations to clients and stakeholders.
• Mentor engineering teams on AI‑first design principles.

Skills

AI/ML architectures

Generative AI

Cloud platforms

Python

Docker/Kubernetes

Data architecture

APIs & microservices

MLOps/LLMOps

Pre-sales solutionsing

Stakeholder management

Education

Bachelor’s or Master’s in CS/Engineering

Tools

TensorFlow

PyTorch

LangChain

Azure OpenAI

AWS Bedrock

Google Vertex AI

Job description

About Infotel IT Consulting

Infotel IT Consulting partners with global enterprises across BFSI, Automotive, Aviation, and Manufacturing to deliver end-to-end technology and talent solutions. We are expanding our solutioning capability to embed AI-driven architecture into client engagements, and are looking for an experienced IT Solution Architect to lead this charge.

Role Summary

The IT Solution Architect – AI will design and own end-to-end technical architectures that embed AI/ML and Generative AI capabilities into enterprise solutions. This role bridges business requirements, cloud/data engineering, and applied AI to deliver scalable, secure, and production-ready systems for our enterprise clients.

Key Responsibilities

• Design end-to-end IT solution architectures that integrate AI/ML, Generative AI (LLMs), and automation into client platforms.
• Translate business and client requirements into scalable, secure, and cost-effective technical architectures.
• Lead architecture reviews, technology evaluations, and proof-of-concepts for AI-enabled solutions.
• Define data architecture and integration strategy (APIs, pipelines, data lakes) to support AI/ML workloads.
• Collaborate with data science, engineering, and DevOps teams to operationalize models (MLOps/LLMOps).
• Own solution documentation, including HLD/LLD, architecture diagrams, and technical proposals for RFPs/RFIs.
• Guide adoption of cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and open-source AI frameworks.
• Ensure solutions meet security, compliance, scalability, and performance standards.
• Act as a technical advisor to clients and internal stakeholders, presenting architecture recommendations.
• Mentor engineering teams on AI-first design principles and best practices.

Required Skills & Experience

• 8–12+ years in IT architecture, solution design, or enterprise application development.
• Proven experience architecting solutions involving AI/ML, NLP, or Generative AI (LLMs, RAG, agentic frameworks).
• Strong grounding in cloud platforms — Azure, AWS, or GCP — and their AI/ML service stacks.
• Hands‑on exposure to Python and AI/ML frameworks (TensorFlow, PyTorch, LangChain, or similar).
• Solid understanding of microservices, API design, containerization (Docker/Kubernetes), and DevOps/MLOps pipelines.
• Experience with data architecture — SQL/NoSQL databases, data warehousing, and vector databases.
• Familiarity with enterprise integration patterns and legacy system modernization.
• Excellent stakeholder management, technical presentation, and pre‑sales solutioning skills.
• Prior experience in a client‑facing consulting or IT services environment preferred.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Certifications such as TOGAF, Azure/AWS Solutions Architect, or AI/ML specialty certifications.
• Experience in BFSI, Automotive, Aviation, or Manufacturing domains is a strong plus.

What We Offer

• Opportunity to shape AI‑first solution architecture for marquee global clients.
• Competitive compensation aligned with experience and market benchmarks.
• A collaborative, growth‑oriented consulting environment with clear leadership pathways.