Consultant, IT Architecture _AI ML

Job highlights

• Bachelor or master degree in computer science or a related field,or equivalent practical experience
• Process re-engineering experience: analyzing an existing workflow and rebuilding it around what automation makes possible,rather than encoding current practice into software.

Job Summary

Consultant, IT Architecture _AI ML

Location: Bangalore, Karnataka, India

Job Type: Permanent

Job Details

Position: Consultant, IT Architecture _AI ML

Requirements

• 12+ years in software engineering with direct ownership of systems in production
• Agentic systems you personally built and shipped into production, not prototypes, notebooks, or proofs of concept
• Strong programming proficiency in Python and at least one of TypeScript/JavaScript, Go, or an equivalent language, with demonstrable code quality practice covering testing, review, refactoring, and maintainability
• Hands-on implementation experience across:
  • Agent loops and tool calling: loop control, sub-agent delegation, state management and checkpointing, and idempotent handling of consequential actions
  • Context engineering: retrieval and search, memory, grounding in enterprise data, prompt assembly, and structured or schema-constrained output
  • Testing and validation: automated tests for behavior that varies between runs, regression suites, and validation against defined acceptance criteria
  • Cost and latency engineering: token accounting, prompt and response caching, model routing with fallback, and context compaction
  • Process re-engineering experience: analyzing an existing workflow and rebuilding it around what automation makes possible, rather than encoding current practice into software
  • Experience replacing an existing manual or fragmented business process with software, working directly with the people who perform that process today
  • Integration engineering: REST and GraphQL APIs, event-driven consumers, OAuth and scoped credential handling, schema and contract versioning, and resilient behavior under partial failure
• Observability and delivery engineering: structured logging, distributed tracing, and metrics for systems whose behavior varies between runs, plus CI/CD pipelines, automated quality gates, and containerized deployment
• Ability to work independently from written specification, deliver against committed timelines, and communicate progress and blockers without prompting

Qualifications

• Bachelor or master degree in computer science or a related field, or equivalent practical experience

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