Job description

Job Description: About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. About the Role: As Senior Machine Learning Engineer in the AI & ML foundations team, you will design and build the core systems behind our LLM applications: the orchestration layer, the reusable tooling and the evaluation harness that keeps it trustworthy in production. In this role, you will not be applying AI research or model training - but to real problems in production. You will report to the Director, Data Science & Insights. You Will: Design and build the orchestration, prompting, and workflow layers behind production AI features Create composable tools and integrations, including retrieval and MCP servers and clients Build evaluators, dashboards, and alerts that track accuracy, latency, cost, and hallucination Harden the platform for production scale: caching, reliability, incidents, and model rollbacks Set the technical bar through architecture decisions, design reviews, and mentoring You Have: At least 2 years’ experience in software/ML engineering - which includes at least 1 years’ experience building LLM systems in production Expert Python, hands on with LLM APIs and cloud platforms (AWS, Snowflake, Vertex) Deep experience orchestrating multistep LLM workflows as execution graphs (e.g. LangChain/LangGraph). Experience building agent harnesses: memory compression, skill disclosure, and tool design Strong prompt engineering: tuning, versioning, and evaluation of prompts and model configs A proven track record in AI evaluation, observability, and retrieval over enterprise data Ability to explain complex AI concepts and tradeoffs clearly to nontechnical stakeholders Fluency with agentic coding tools (e.g. Claude Code) and their architecture patterns (a strong plus) Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle Programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Financial Health Programs Cybersecurity Protection Learn more about us and our benefits click here . #LI-Hybrid Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets Reasonable Accommodation We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations. Business Area: Dow Jones - Technology Job Category: Software Product Engineering Union Status: Union role Base Pay Range: $125,000 - $155,000 We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

Requirements

Must-haves

You Will: Design and build the orchestration, prompting, and workflow layers behind production AI features
Create composable tools and integrations, including retrieval and MCP servers and clients
Build evaluators, dashboards, and alerts that track accuracy, latency, cost, and hallucination
Harden the platform for production scale: caching, reliability, incidents, and model rollbacks
Set the technical bar through architecture decisions, design reviews, and mentoring
You Have: At least 2 years’ experience in software/ML engineering - which includes at least 1 years’ experience building LLM systems in production
Expert Python, hands on with LLM APIs and cloud platforms (AWS, Snowflake, Vertex)
Deep experience orchestrating multistep LLM workflows as execution graphs (e.g. LangChain/LangGraph).
Experience building agent harnesses: memory compression, skill disclosure, and tool design
Strong prompt engineering: tuning, versioning, and evaluation of prompts and model configs
A proven track record in AI evaluation, observability, and retrieval over enterprise data
Ability to explain complex AI concepts and tradeoffs clearly to nontechnical stakeholders
Fluency with agentic coding tools (e.g. Claude Code) and their architecture patterns (a strong plus)
Our Benefits Comprehensive Healthcare Plans
Retirement Plans
Comprehensive Insurance Plans
Lifestyle Programs & Wellness Resources
Education Benefits
Family Care Benefits & Caregiving Support
Commuter Transit Program
Subscription Discounts
Employee Referral Program
Financial Health Programs

Nice-to-haves

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlllmpythonaws

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Paid Time Off

Wellness