Fractal · 21 hours ago
Machine Learning Engineer
United States
Full-time
Remote
Mid Level
$90K/yr - $118K/yrFractal is a strategic AI partner to Fortune 500 companies, aiming to enhance human decision-making through AI. The role of Machine Learning Engineer involves designing and developing AI agents, integrating them with enterprise datasets, and ensuring responsible AI practices are followed.
AnalyticsArtificial Intelligence (AI)Big DataBusiness IntelligenceConsulting
Hiring Manager
Prateek Joshi
Responsibilities
Build and deploy AI data agents connected to enterprise datasets and semantic models in Fabric
Configure prompts, grounding strategies, exemplars, and agent instructions
Implement multi-agent architectures, including parent/child routing, delegation, and fallback patterns
Write clear system messages, input/output formats, and guardrails
Evaluate prompt behavior for reliability, correctness, retrieval quality, and output safety
Instrument evaluation loops and continuously improve models based on telemetry and feedback
Integrate agents with Fabric Lakehouse/Warehouse datasets and semantic models
Work with data engineers to define data requirements and ensure proper schema alignment
Map user intents to the correct data fields and grounding sources
Build supporting utilities and APIs using Python, SQL, and Azure services
Integrate agents with retrieval layers such as Cognitive Search, vector indexes, or API endpoints
Move quickly from MVP → v1 → vNext with minimal hand-holding
Detect and diagnose issues such as data gaps, grounding mismatches, prompt failures, or routing errors
Recommend fixes and drive continuous improvements
Communicate technical reasoning clearly to engineers, architects, PMs, and non-technical partners
Break work into clear phases, milestones, dependencies, and delivery plans
Apply widely-recognized Responsible AI (RAI) practices such as safety, privacy, transparency, fairness, and accountability
Implement guardrails that reduce harmful or unintended model behavior
Handle sensitive or private information using secure access patterns
Follow data-minimization approaches when interacting with enterprise datasets
Ensure agents respect role-based access, approved data sources, and avoid unnecessary logging or data exposure
Document agent logic, prompts, and routing in an auditable way
Use appropriate environment and access controls
Follow standard engineering processes such as version control and change documentation
Participate in reviews related to data usage, security, and risk
Qualification
Required
Proven experience building AI agents, copilots, or conversational AI applications
Strong engineering skills in SQL, Python, and Azure services
Experience connecting agents to semantic models, BI datasets, or Fabric‑based data sources
Ability to design and operate multi‑agent systems (parent/child agents, routing logic, state handling)
Strong problem‑solving skills and ability to iterate quickly with limited guidance
Clear communication skills across technical and non‑technical audiences
Preferred
Experience with Copilot Studio, agent orchestration frameworks, or Fabric Data Agents
Familiarity with retrieval‑augmented generation (RAG), vector search, metadata enrichment, and evaluation pipelines
Understanding of enterprise data governance, privacy practices, and data stewardship
Experience creating telemetry dashboards or analytics to measure agent performance and quality
Benefits
Health, dental, vision, life insurance, and disability plans
401(k) Plan after 30 days of employment
11 paid holidays
12 weeks of Parental Leave
Free time PTO policy
Company
Fractal
Fractal is an AI firm with the aspiration to power every human decision in theenterprise.
Founded in 2000
5001-10000 employees
H1B Sponsorship
Fractal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (64)
2024 (51)
2023 (55)
2022 (77)
2021 (51)
2020 (49)
Funding
Current Stage
Late StageTotal Funding
$862.67MKey Investors
Srikanth VelamakanniTPG Capital AsiaApax Partners
2025-07-15Secondary Market· $172M
2025-07-12Undisclosed· $5.67M
2022-01-05Private Equity· $360M
Leadership Team
Pranay Agrawal
Co-founder and Chief Executive Officer
Srikanth Velamakanni
Co-Founder, Group Chief Executive & Executive Vice-Chairman
Recent News
2026-01-03
2025-12-21
2025-12-05
Company data provided by crunchbase