AI practice lead - Financial services and Insurance at EPAM Systems
Atlanta, GA
$200,000–$250,000from the description
Aug 6, 2026
Atlanta, GA
Sep 24, 2026
What this job asks for AI summary
An AI leadership role at a global technology consultancy, focused on the Financial Services and Insurance vertical. The person in this position will own the full lifecycle of AI and machine learning programs — from shaping client strategy and go-to-market offerings to delivering production solutions — while managing multidisciplinary teams, growing practice capabilities, and mentoring staff. It suits an experienced data science or ML engineering leader with a consulting background and deep domain knowledge in banking, insurance, or reinsurance.
Principal level · 10+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 460 people nationally plausibly meet what this posting asks for (computer and information systems managers). range 270–980
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $178,991 (middle half $141,096–$225,584). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 7, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role is titled 'AI leader' with no explicit seniority level in the title; however, the scope — org-wide strategy, go-to-market ownership, team-building, and client-facing program leadership at a major consultancy — supports a Principal-level classification rather than Senior.
SOC classification is a genuine judgment call: the role has substantial people-management and business-development duties (pointing to 11-3021) but also requires deep hands-on technical expertise in data science and ML (pointing to 15-2051). 11-3021 was chosen because team management, mentoring, and shaping offerings are described as primary responsibilities.
The role is fully remote but explicitly cannot be performed in New York City.
The 10+ years requirement is stated at the role level (data science lead or ML engineering lead); the 5+ years leadership requirement is also role-level and is captured in the overall years minimum as the higher of the two gates (10).
Databricks and Snowflake are listed together as examples of 'technologies such as'; they are treated as a required capability gate (alternatives to each other) per the requirements section placement. Similarly, LangChain, Omnigent, and Semantic Kernel are listed as agentic orchestration tool examples within the same required block.
Cloud platforms (AWS, GCP, Azure) appear in the requirements section only as part of 'ML/LLMOps and cloud platforms' context; cloud certifications appear explicitly under 'Nice to have' and are marked preferred accordingly.
The 'computer vision / NLP / recommender systems / time series analytics' requirement is a pick-one gate; alternatives are populated with the other named options.
Regulatory standards (KYC/AML, ISO/IEC, FSB, IFRS, FINTRAC) are listed under 'Nice to have' and are not emitted as skills since they are compliance frameworks rather than concrete named technologies or tools.
Read the full posting
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