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Senior AI Technical Lead

India, Bengaluru · Job Posted July 04, 2026
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Job Responsibility

  • Lead technical design decisions and resolve blockers across portfolio use cases
  • Drive cloud-native development practices, including secure handling of secrets, environment variables, and service configurations
  • Manage API specifications and service integrations across platforms
  • Ensure robust CI/CD pipelines for AI systems and microservices
  • Implement team-based access control, code ownership, and repository governance
  • Apply infrastructure-as-code practices for scalable deployments
  • Support agile software development processes and ensure engineering consistency
  • Design and deploy conversational agents and multi-agent systems
  • Orchestrate agent workflows, manage context, and integrate external data sources
  • Implement retrieval-augmented generation (RAG) patterns and scalable inference strategies
  • Evaluate trade-offs between deployment models (e.g., serverless vs containerised) for optimal performance
  • Ensure compliance with enterprise data privacy and cybersecurity standards
  • Manage responsible handling of user interactions and logs, with clear boundaries for data retention and observability
  • Implement observability tools for tracing, logging, and performance monitoring
  • Ensure robust API testing and authentication flows across service layers
  • Manage code reviews, shared modules, and enforce engineering best practices
  • Drive agile development practices including sprint planning, backlog grooming, and velocity tracking
  • Foster a growth mindset culture, encouraging experimentation, learning from failure, and continuous improvement
  • Support onboarding and mentoring of developers and AI engineers
  • Work closely with the AI Tech Chapter Lead to align technical decisions with AI platform strategy and business goals
  • Represent the Pod in technical forums, showcases, and architecture reviews
  • Communicate risks, trade-offs, and technical constraints clearly to non-technical stakeholders
  • Provide timely updates to the Engagement Lead on technical decisions and progress

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 6+ years of experience in AI/ML engineering, with strong expertise in Generative AI and agentic systems
  • Proficiency in Python and modern programming languages
  • experience with orchestration frameworks (LangChain, Hugging Face, OpenAI)
  • Strong knowledge of cloud platforms (AWS, Azure), containerisation (Docker, Kubernetes), and CI/CD pipelines
  • Experience with infrastructure-as-code (Terraform, CloudFormation) and API management
  • Familiarity with observability tools and secure coding practices
  • Excellent leadership, stakeholder engagement, and communication skills
  • Proven ability to lead technical teams and deliver complex AI solutions in agile environments

What we offer

  • Inclusive parental leave entitlements for both parents
  • Values led culture
  • Flexible work options
  • Generous annual leave, sick leave and casual leave
  • Cultural and religious leave with flexible public holiday opportunities
  • A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

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