IT Solution Architect - AI

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.