Lead AI Engineer, Dynatrace
$150-180k
Plus stock purchase options
More information about location
Digital and application performance monitoring
Job no longer available
Digital and application performance monitoring
1001+ employees
Job no longer available
$150-180k
Plus stock purchase options
More information about location
1001+ employees
Company mission
To deliver answers and intelligent automation from data.
Role
Who you are
- 5+ years of software or ML engineering experience, with 2+ years of building LLM systems in production
- Proven track record implementing AI observability
- Snowpark or external functions in Snowflake
- Workflow orchestration tools (Airflow, n8n, or similar)
Desirable
- Expert-level proficiency in Python, plus TypeScript or Go for full-stack AI applications
- Proven ability to communicate complex AI concepts clearly to non-technical stakeholders — translating engineering trade-offs and model behavior into business terms that inform decisions
- Experience implementing production RAG systems using Snowflake Cortex Search, pgvector, hybrid search, and re-ranking strategies
- Hands-on experience building MCP (Model Context Protocol) servers and clients
- Experience working with LLM APIs (OpenAI, Anthropic, Azure , Gemini) and cloud platforms (AWS SageMaker, Lambda, S3, Bedrock)
- 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-loop escalation
- A track record of proactively evaluating and introducing new AI tools or frameworks that deliver tangible improvement — not just awareness of trends but applied adoption
- Experience managing production incidents and model rollbacks in high-stakes environments
- Experience with enterprise SaaS platforms (ServiceNow, Salesforce, or similar)
- Authentication and access control concepts (OAuth, RBAC, SSO)
- Exposure to vector search or semantic retrieval technologies
What the job involves
- As a part of a new team focused on accelerating AI adoption and usage, the AI Engineer will design and deploy AI-powered automation, and intelligent agents embedded directly into business operations. This role operationalizes generative AI using governed enterprise data, leveraging enterprise data as the data foundation, and enterprise tools 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 processes — not research or model training. This role will report up into the VP of AI, Collaboration and Data's team
- Build internal AI assistants and copilots for support, operations, and business teams
- Implement Retrieval Augmented Generation (RAG) using Snowflake data and curated metrics
- Ground AI responses using modeled enterprise data rather than documents alone
- Implement prompt strategies, guardrails, and response evaluation techniques
- Automate operational processes such as ticket triage, routing, approvals, and document handling
- 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
- 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
- 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
- Implement serverless workflows using AWS (Lambda, Step Functions, API Gateway, S3, EventBridge)
- Monitor system performance, latency, and operational reliability
- Track AI usage, accuracy, and cost efficiency
- Implement logging, auditing, and traceability of AI decisions
Our take
Dynatrace is a software intelligence platform that provides monitoring and analytics solutions as well as automation capabilities, enabling clients to scale their applications automatically. Designed to help organisations better understand and optimise their cloud operations, it allows them to deliver software at a faster and more secure rate.
Recognised as a leading provider of software intelligence solutions, the Dynatrace platform is utilised by some of the world's leading brands, including 72 of the Fortune 100, to optimise their customer experiences and provide an overall more innovative IT operation.
The company has received numerous awards in recognition for its position within the technology industry. In 2022, Dynatrace won 3 major awards - the best place to work, the best global culture, and the best company outlook, as well as being named a leader in the Gartner Magic Quadrant for APM and Observability for the second year in a row. Dynatrace has a strong reputation in its field for its innovation and customer satisfaction, bolstering its position as a leader and helping further its name within the industry.
Freddie
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2011
$4m
EARLY VC
Aug 2008
$12.9m
SERIES B
Total funding: $24.4m
Company benefits
- Full remote working options to hybrid ones combining home and in-office work
- Career development program supporting you in achieving your career goals
- Unlimited personal time off
- Employee stock purchase plan
- Transportation/commuter stipend
- Medical/dental benefits
- Company matching 401(k) plan for retirement
Company HQ
North Waltham, Waltham, MA
Leadership
Bernd Greifeneder
(Co-Founder & CTO)Previously the CTO and Senior Vice President at ruxit. Also worked as a Chief Technology Officer/Chief Software Architect at Segue Software.
Sok-Kheng Taing
(Co-Founder)Previously worked as the Head of eBusiness at Büro Handel. Now is on the Advisory Board for Fachhochschule Oberösterreich and the Chairwoman of the Supervisory board for Neoom Group.
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