Lead AI Engineer

Posted Yesterday
Hiring Remotely in Boston, MA
Remote or Hybrid
150K-180K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Dynatrace delivers answers and intelligent automation from data.
The Role
The AI Engineer designs and deploys AI automation tools, partners with teams for workflow automation, and enhances operational efficiency using generative AI and data-driven decision support.
Summary Generated by Built In
Your role at Dynatrace

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.

Your role at Dynatrace:

AI & Copilot Development

  • 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

Workflow & Decision Automation

  • 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

Production Engineering & Integration

  • 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 operational reliability
  • Track AI usage, accuracy, and cost efficiency
  • Implement logging, auditing, and traceability of AI decisions

This is a remote eligible position. Candidates who live within a 45 mile radius of Boston, MA; Detroit, MI; Denver, CO; and Mountain View, CA will be required to work hybrid (2 days per week) out of our Dyntrace office. Candidates are required to work EST hours for this position.

What will help you succeed

Minimum Requirements

  • 5+ years of software or ML engineering experience, with 2+ years of building LLM systems in production.

Preferred Requirements

  • 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.
  • Proven track record implementing AI observability.
  • 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.
  • Snowpark or external functions in Snowflake
  • Experience with enterprise SaaS platforms (ServiceNow, Salesforce, or similar)
  • Workflow orchestration tools (Airflow, n8n, or similar)
  • Authentication and access control concepts (OAuth, RBAC, SSO)
  • Exposure to vector search or semantic retrieval technologies
Why you will love being a Dynatracer

• A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.
• Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.
• A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.
• An environment that fosters innovation, enables creative collaboration, and allows you to grow.
• A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.
• A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.
• A relocation team that is eager to help you start your journey to a new country, always there to support and by your side.
• Attractive compensation packages and stock purchase options with numerous benefits and advantages.

Compensation and Rewards

DOE, salary $150K - $180K, plus Health, Dental, Life, STD, LTD, 401K, PTO. Total compensation may vary depending on candidate experience/education and location.

Equal Employment Opportunity

All your information will be kept confidential according to EEO guidelines.

We offer competitive compensation, company-sponsored premium benefits, medical, dental, vacation/holidays, company matching 401(k) Plan, etc. Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law. If your disability makes it difficult for you to use this site, please contact [email protected]. Dynatrace participates in E-Verify, participant information in English and Spanish. Right to work information in English and Spanish. EEO is the Law. To be considered for this position, please upload your resume/CV.

Top Skills

Anthropic
Api Gateway
AWS
Azure
Dbt
Eventbridge
Gemini
Go
Lambda
Mlflow
Openai
Python
S3
Sagemaker
Snowflake
Step Functions
Typescript
Weights & Biases
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The Company
HQ: Boston, MA
5,200 Employees
Year Founded: 2005

What We Do

Dynatrace lets customers understand their business like never before, so they can see beyond the complexity, find and fix problems faster and automate manual tasks with Al — so they can focus on what truly matters: running their business.

Why Work With Us

In a world that runs on software, our Al-driven insights cut through the noise, allowing you to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Our culture, fueled by curiosity, openness, and authenticity, drives our pursuit of innovation and excellence in crafting the Dynatrace platform.

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Dynatrace Teams

Dynatrace Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: 2 days a week
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