If you are an AI builder who thrives on taking ideas from vision to whiteboard (or demo) to production — and enjoys collaborating within a larger team to shape the future of enterprise AI — this role is for you.

We are looking for Managers within our Data & AI Consulting Practice to own the full AI lifecycle: shaping end-to-end solutions during pre-sales, leading enterprise ML/GenAI programs into production, as well as work on building scalable, market-ready AI offerings.

This is a hands-on leadership role for technologists who combine deep engineering capability with client engagement and commercial ownership, delivering measurable enterprise impact beyond proof-of-concept initiatives.

Req# (phone hidden)
**Responsibilities**
Lead the full AI lifecycle — from pre-sales solutioning (RFPs, proposals, scoping/pricing) through production delivery of enterprise ML/GenAI programs, on time and on budget
Provide hands-on technical leadership in AI Engineering, driving design, development, and implementation of solutions across client engagements
Serve as a trusted AI advisor to client stakeholders (including C-level), championing enterprise-wide AI adoption and translating business challenges into actionable AI strategies
Collaborate cross-functionally and across geographies to shape scalable AI offerings, products, and differentiators for target verticals
**Requirements**
Strong hands-on AI expertise with a track record of production delivery (model architectures, quality metrics, MLOps); proficiency in Python and frameworks such as PyTorch/Tensor

Flow; familiarity with platforms like GCP, AWS, Databricks, or Azure
Demonstrated leadership in driving multi-dimensional teams and influencing senior stakeholders to secure funding and deliver AI products
Knowledge of semantic technologies (Ontology, Knowledge Graphs, OWL, RDF, SPARQL, SHACL) is a strong plus




Excellent communication and problem-solving skills — able to translate complex technical concepts and business requirements into practical, scalable AI solutions for diverse audiences
Bachelor's/Master's in Computer Science, Data Science, or related field (or equivalent experience)
**We offer**
Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
Life and AD&D; Insurance (Company Paid)
Employee Assistance Program (Company Paid)
Telehealth (Company Paid)
Short-term Disability (Company Paid)
Long-Term Disability
Paid Time Off (including vacation and sick days)
Registered Retirement Savings Plan (RRSP) with Company match
Maternity/Parental/Adoption Leave Top-up
Employee Stock Purchase Program
Critical Illness Insurance
Employee Discounts
Unlimited access to Linked

In learning solutions
EPAM Systems, Inc. is an equal chance employer.

We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities.

We are committed to recruiting, hiring, developing and promoting employees without discrimination.

As a global employer, this commitment includes complying with all laws in the countries in which we operate.

Nevertheless, we believe equal employment practices should not be limited to what the law requires.

Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

📌 Consultant, Data Analytics (Canada)
🏢 EPAM Systems
📍 Canada