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 Fin

Ops 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.#(phone hidden)
**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
**Requirements**
Experience: 8+ years of software engineering experience with 3+ years in a technical leadership capacity building multi-agent AI systems, Fin

Ops 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 (Big

Query, 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)
Dev

Ops & Infrastructure: Proficiency with Docker builds, GKE deployment patterns, Open

Tofu/Terraform, and CI/CD pipelines
Leadership Skills: Proven ability to coach, mentor, and influence teams beyond just writing and implementing solutions
**Nice to have**
Experience with Lang

Graph / Lang

Chain




Hands-on experience with Vertex AI
Working knowledge of modern Dev

Ops and CI/CD practices
Familiarity with GCP infrastructure resources and their constraints, with the ability to identify optimal resources for designed AI agentic solutions
**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.

📌 Lead AI Engineer — TCO Agent Platform (Canada)
🏢 EPAM Systems
📍 Canada