About the Position

Sr AI Engineer

Location: Bangalore, India

Employment Type: Full-time

Work Location Type: Hybrid

Your Role at Dynatrace

As part of a new team focused on accelerating AI adoption, the Sr AI Engineer will design and deploy AI-powered automation and intelligent agents embedded directly into business operations. This role takes AI capabilities proven in business-function POCs and scales them into governed, production-grade solutions, using Snowflake as the enterprise data foundation and a combination of cloud services and intelligent automation platforms for orchestration and execution.

The position partners with Data, IT, and business teams to automate workflows, support decision-making, and improve operational efficiency. The focus is on applying AI to real business processes, not research or model training.

Responsibilities

AI & Copilot Development

Build internal AI assistants, copilots, and agents for support, operations, and business teams
Implement Retrieval Augmented Generation (RAG) using Snowflake data and curated metrics
Ground AI responses in modeled enterprise data rather than documents alone
Implement prompt strategies, guardrails, and response evaluation techniques

Workflow & Intelligent Automation

Automate operational processes such as ticket triage, routing, approvals, and document handling
Combine LLMs and AI agents with intelligent automation platforms (Workato, Power Automate, UiPath) to automate business processes end to end
Develop AI-driven classification, summarization, and recommendation services
Implement human-in-the-loop workflows and exception handling
Continuously improve workflows based on business outcomes and user feedback

Production Engineering & Integration

Scale proven AI POCs into production-ready, supportable solutions
Build and maintain AI-powered backend services, APIs, and microservices
Integrate AI capabilities with enterprise systems (ITSM, CRM, ERP, and internal applications)
Troubleshoot failures across data pipelines, orchestration, and model inference layers
Participate in technical design and architecture discussions

Data Platform Integration

Utilize Snowflake as the trusted data source for AI decisions
Use dbt models as the semantic and business logic context for automation
Enable real-time and batch data-driven decision support
Ensure AI actions align with defined business metrics and data definitions

Cloud Orchestration & Observability

Implement serverless workflows using AWS (Lambda, Step Functions, API Gateway, S3, EventBridge)
Monitor system performance, latency, and reliability
Track AI usage, accuracy, and cost efficiency
Implement logging, auditing, and traceability of AI decisions

Requirements

5+ years of software or ML engineering experience, including 2+ years building LLM-based systems in production
Expert-level proficiency in Python, plus TypeScript or Go for full-stack AI applications
Hands-on experience building production RAG systems, including vector or hybrid search and re-ranking strategies
Experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, Gemini) and AWS services (Lambda, S3, Bedrock, SageMaker)
Proven track record implementing AI observability, including tracking quality, latency, usage, and cost
Familiarity with CI/CD and MLOps tooling (MLflow, Weights & Biases, Snowflake ML Registry)
Demonstrated application of responsible AI practices on live deployments, including bias checks, output validation, and human-in-the-loop escalation
Experience managing production incidents and model rollbacks
Ability to explain AI concepts and engineering trade-offs clearly to non-technical stakeholders in business terms
A track record of evaluating and adopting new AI tools or frameworks that deliver measurable improvement

Nice to Have

Hands-on experience building MCP (Model Context Protocol) servers and clients
Snowflake Cortex Search, Snowpark, or external functions in Snowflake
Experience with intelligent automation and workflow platforms (Workato, Power Automate, UiPath, n8n) and orchestration tools (Airflow), including integrating them with LLMs and AI agents
Experience with enterprise SaaS platforms (ServiceNow, Salesforce, or similar)
Authentication and access control concepts (OAuth, RBAC, SSO)

We Offer

Dynatrace is a leader in unified observability and security.
We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.
You'll get to work at the forefront of innovation with Dynatrace Intelligence-the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next- automatically.
Over 50% of the Fortune 100 companies are current customers of Dynatrace.

About Dynatrace

Dynatrace (NYSE: DT) is the leading AI-powered observability and security platform. We're advancing observability for today's digital businesses, helping transform modern digital ecosystems' complexity into powerful business assets.

Our AI-driven insights cut through the noise, allowing customers to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Dynatrace offers simplicity, clarity, and reliability at scale to ensure teams can make informed decisions, minimize downtime, and drive their business forward with confidence.

Great Place To Work®

We’re proud to be certified as a Great Place To Work® in 16 countries-an achievement made possible by feedback from our greatest asset: an incredible team. We couldn’t have done it without them.

Sr AI Engineer

Job description