AI Lead/Architect

We are seeking an experienced AI Architect to design & deliver scalable, secure, & production-ready agentic AI solutions across Cyient.

The role will translate business requirements into enterprise ai architectures, define technology standards & reusable patterns, evaluate emerging AI technologies, & provide technical leadership from ideation through production and scale.

Key responsibilities

• Design end-to-end architectures for AI/ML, generative AI, LLM, & agentic AI solutions across enterprise environments.
• Translate business use cases & requirements into scalable AI solution architectures, including data flows, models, APIs, integrations, infrastructure, security, & governance.
• Architect enterprise AI solutions using LLMs, rag, embeddings, vector databases, prompt engineering, tool/function calling, model routing, & LLM orchestration.
• Design AI agent & multi-agent architectures, including agent planning, memory, tools, orchestration, human-in-the-loop, & enterprise system integration.
• Define AI/ML architecture covering model development, training, inference, deployment, monitoring, & lifecycle management.
• Evaluate & recommend foundation models, AI platforms, frameworks, vector databases, model-serving technologies, & cloud services based on performance, cost, scalability, security, & business requirements.
• Establish AI reference architectures, reusable frameworks, design patterns, engineering standards, & accelerators.
• Ensure AI solutions address responsible AI, security, privacy, compliance, access control, prompt injection, data leakage, hallucination, & model misuse.
• Define AI evaluation & observability approaches covering accuracy, relevance, groundedness, latency, cost, safety, reliability, & model/agent performance.
• Conduct technology assessments, prototypes, & POCs to evaluate emerging technologies including generative AI, agentic AI, multimodal AI, reasoning models, & AI infrastructure.
• Provide architectural guidance & mentorship to AI engineers, ML engineers, data scientists, & development teams, & participate in architecture governance & reviews.
• Collaborate with business leaders, enterprise architecture, solution architecture, data, cybersecurity, cloud, & engineering teams to ensure successful AI adoption & production deployment.

Key qualifications

• Bachelor’s or master’s degree in computer science, AI, data science, engineering, or related discipline.
• 10+ years of experience in software engineering, solution architecture, AI/ML, data science, or related technology domains, with 5+ years designing & implementing enterprise AI solutions.
• Strong hands-on experience with generative AI, LLMs, foundation models, rag, vector databases, embeddings, prompt engineering, LLM orchestration, & AI evaluation.
• Demonstrated experience designing production-grade AI & agentic AI solutions.
• Strong python programming skills & familiarity with modern AI/ML frameworks.
• Strong foundation in software architecture, distributed systems, APIs, microservices, databases, enterprise integration, & cloud architecture.
• Experience with one or more major cloud platforms such as Azure, AWS or google cloud.
• Experience with AI/ML deployment, model serving, monitoring, MLOps/LLMOps, & lifecycle management.
• Strong understanding of AI security, responsible AI, data privacy, and AI governance.
• Ability to evaluate emerging AI technologies and translate them into practical, scalable enterprise architectures.
• Strong communication, stakeholder-management, technical leadership, and mentoring skills.

Roles & Responsibilities

Expert within chosen area of work. Analyze & create Solutions to Complex technical problems. Performs Quality checks for complex tasks and internal Technical reviews. Drive Technical discussions with customer SMEs and support product reviews. Work with SLDMs in identification and development of mistake proofing solutions to improve quality. Support Go to Market teams on POC’s and Bids. Participate in Technical feasibility studies for identified automation proposals. Competency management & Mentoring associates in collaboration with discipline managers. Development of standard work & training content. Publish whitepapers and write Blogs. Typically requires a Bachelor’s degree in Engineering and relevant experience in electronics & computer design domain.