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.

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.

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.

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.