Posted 2 months ago
Lead AI Engineer — TCO Agent Platform
@ EPAM Systems
Canada
SIGNALS
Overview
EPAM Systems is hiring a Lead AI Engineer to architect and lead a multi-agent FinOps AI platform across GCP and AWS. The role oversees 8 specialized agents, LLM governance and compliance guardrails, and mentors senior and mid-level engineers. Full-time, salary CA$150,000 to CA$200,000.
Responsibilities:
- Lead design of 8 specialized AI agents
- Govern LLM routing and operating costs
- Architect SOX-adjacent segregation-of-duties workflows
- Oversee the Action Gateway and ticketing integrations
- Set coding and API standards and mentor engineers
Requirements summary:
- 8+ years software engineering experience
- 3+ years technical leadership on multi-agent or LLM systems
- Advanced Python, FastAPI and Pydantic
- Deep GCP experience including BigQuery and GKE
- Experience with Zero Trust security and RBAC
Tools & skills
Benefits mentioned
DentalVisionLife insuranceDisability insuranceRetirement planEmployee assistancePaid time offParental leaveEmployee discount
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-09-16
- First seen by our source
- 2026-11-15
- Source record updated
- 2026-11-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Experience | 8+ years |
| Management experience | 3+ years |
| Manages people | Yes |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Encouraged to apply | People with disabilities |
| Perks mentioned | Generous paid time off, Generous parental leave, Retirement plan, Stock or equity, Employee discount, Wellness |
Summary and details written by AI from the posting; the employer’s posting is the authority.
EPAM Systems
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Full company description
EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners and employees. We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world. Learn more at www.epam.com and follow us on LinkedIn.
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- Other recorded names
- EPAM Systems
- Specialties
- Software & Platform Engineering
- Agility
- Product Development
- IoT
- Next-Gen Architecture
- Application & Cloud Management
- Big Data & Analytics
- Consulting Services
- Digital Engagement
- Mobility
- and Strategy & Experience
- Profile identifies a recruitment agency
- No
EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and…
| Field | Value |
|---|---|
| Industry | IT Services and IT Consulting |
| Company size | 10,001+ employees |
| Headquarters | Newtown, PA |
| Organization type | Public Company |
| Year founded | 1993 |
| Specialties | Software & Platform EngineeringAgilityProduct DevelopmentIoTNext-Gen ArchitectureApplication & Cloud ManagementBig Data & AnalyticsConsulting ServicesDigital EngagementMobility |
| Open jobs on Jobsy | 12 |
| View page |
Job description
As the Lead AI Engineer for our next-generation TCO Agent Platform, you will serve as the technical lead and multi-agent system architect for a greenfield, proactive FinOps AI platform. You will oversee the development, orchestration, and governance of an ecosystem comprising 8 specialized AI agents (e.g., Commitment Optimization, Financial Operations, Resource Optimization, Anomaly Detection) running within a multi-cloud GCP/AWS environment.
You will drive core architectural execution, ensure strict adherence to SOX-adjacent financial controls, enforce Zero Trust security models via Model Armor and LiteLLM, and guide the engineering team through building high-scale, autonomous enterprise AI services.
Reporting directly to the Technical Product Manager, you will collaborate closely with Solution, Platform, and Enterprise Architects. You will also have a Senior Software Engineer under your direct subordination to collaborate with on solution implementation.
Req.#1087619193
The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
Responsibilities
An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.
EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
You will drive core architectural execution, ensure strict adherence to SOX-adjacent financial controls, enforce Zero Trust security models via Model Armor and LiteLLM, and guide the engineering team through building high-scale, autonomous enterprise AI services.
Reporting directly to the Technical Product Manager, you will collaborate closely with Solution, Platform, and Enterprise Architects. You will also have a Senior Software Engineer under your direct subordination to collaborate with on solution implementation.
Req.#1087619193
The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
Responsibilities
- Multi-Agent Architecture & Orchestration: Lead the design and implementation of 8 specialized agents using Python, FastMCP, and GCP Workload Identity. Oversee inter-agent dependencies, prompt engineering lifecycle, tool definitions, and agent-to-service communication
- LLM Governance & Tokenomics: Enforce centralized LLM routing via LiteLLM Gateway and Vertex AI Model Garden (Claude, Gemini). Implement agent self-governance tracking systems (Tokenomics) to monitor and cap LLM operating costs within strict platform operational limits
- Financial & Compliance Guardrails: Architect execution boundaries and strict segregation-of-duties workflows for SOX-adjacent processes (e.g., Journal Entry generation vs. human approval)
- System Integration & Action Routing: Oversee the architecture of the platform’s Action Gateway—handling direct API invocations, event-driven workflows, and fallback ticketing (Jira, Slack, Teams)
- Technical Leadership & Standards: Set coding, testing, and formatting standards across application repositories. Mentor Senior and Mid-level AI engineers and drive code reviews enforcing RFC standard error formats, API contracts, and schema compliance
- Experience: 8+ years of software engineering experience with 3+ years in a technical leadership capacity building multi-agent AI systems, FinOps tools, or LLM-powered platforms
- Frameworks & Languages: Advanced proficiency in Python 3.11+, FastMCP, FastAPI, and Pydantic. Prior experience with object-oriented enterprise languages (e.g., Java) for seamless integration with core platform services and backend APIs
- AI/LLM Architecture: Hands-on experience with Google ADK, Vertex AI, LiteLLM Gateway, Model Armor guardrails, prompt engineering, structured tool output parsing, and agent execution boundaries
- Data & Cloud Platforms: Deep familiarity with the GCP ecosystem (BigQuery, GKE, Workload Identity), SQL schema design (FOCUS standard preferred), and partitioned/clustered OLAP architectures
- Security & Governance: Experience implementing Zero Trust authentication (OAuth/KSA-to-GSA), RBAC, immutable audit logging, and API/MCP error specifications (RFC 7807/9457)
- DevOps & Infrastructure: Proficiency with Docker builds, GKE deployment patterns, OpenTofu/Terraform, and CI/CD pipelines
- Leadership Skills: Proven ability to coach, mentor, and influence teams beyond just writing and implementing solutions
- Experience with LangGraph / LangChain
- Hands-on experience with Vertex AI
- Working knowledge of modern DevOps and CI/CD practices
- Familiarity with GCP infrastructure resources and their constraints, with the ability to identify optimal resources for designed AI agentic solutions
- 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 LinkedIn learning solutions
An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.
EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM
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