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Strong Tier-1 brand, metro locations, and broad AI/LLM/cloud requirements increase applicant competition.
Deep LLM, MLOps, and cloud architecture requirements make cross-industry moves difficult.
Explicit 10+ years, mandatory AI experience, and required cloud/ML/MLOps skills make filters strict.
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Own end-to-end solution architecture and technical delivery of AI/GenAI conversational systems from design through deployment and operational readiness.
Lead technical delivery teams hands-on, including design, prototyping, code reviews, and unblocking in complex GenAI projects.
Ensure scalability, security, performance, and compliance of AI platforms while mentoring teams and collaborating with stakeholders.
Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field.
10+ years in software architecture with at least 3 years focused on AI/ML solution design and implementation.
Strong programming proficiency in Python, SQL, and Javascript; hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.
Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), and deployment pipelines (MLOps).
Experienced AI/ML technical leader with strong hands-on skills in designing and deploying agentic AI and LLM-based applications.
Comfortable working in ambiguous, complex projects requiring tactical delivery and strategic architecture decisions.
Proficient in selecting and integrating AI frameworks, tools, and orchestration for scalable, compliant enterprise AI solutions.