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Truist · 5 hours ago

Senior Principal Enterprise Architect - Principal AI/ML Engineer

Atlanta, GA

Full-time

Onsite

Senior Level, Lead/Staff

Truist Bank is a financial services company seeking a Senior Principal Enterprise Architect - Principal AI/ML Engineer. This role is responsible for leading the enterprise architecture strategy and driving the design and delivery of advanced AI systems, ensuring alignment with business goals and technology standards.

BankingFinanceFinancial Services

H1B Sponsor Likely

Responsibilities

Top-down enterprise design with focus on business model, digital transformation and innovation i.e. collaborate with business owners, technology leaders and risk partners to draft the tech strategy, reflecting the corporate objectives/strategy

Lead cross cutting enterprise solution design that span across multiple CIOs and domains

Set strategic direction for the assigned major business division in alignment with the Business Strategy and Technology standards and provide thought leadership in the development of an enterprise strategic IT plan

Maintain a high level of awareness and understanding of existing and emerging technologies, as well as industry and bank issues, to effectively match them

End to end accountability to review and approve design solutions that best meet the business needs of the enterprise, with a primary focus on innovation

Lead or "jump start" initiatives deemed critical to IT Services and Truist's success

Provide thought leadership in new technology innovation, incubation, introduction and implementation critical to Truist's technology and business strategy roadmaps and ongoing success

Architect and lead the development of complex, distributed AI/ML systems leveraging AWS AgentCore for agentic workflows and Azure Service Fabric for resilient microservice‑based execution models

Own the end‑to‑end design of enterprise‑grade LLM agents, multi-agent systems, RAG frameworks, and tool‑augmented pipelines that integrate with heterogeneous data and application ecosystems

Define the technical vision for scalable AI infrastructures across AWS and Azure, including data platforms, orchestration frameworks, container environments, and secure production deployment patterns

Direct and oversee large‑scale model lifecycle initiatives: feature engineering, training, evaluation, deployment, observability, drift detection, and continuous improvement

Create standards and reusable architecture patterns for AgentCore‑based agent workflows, vector stores, prompt‑chain orchestration, and secure model interactions

Provide senior‑level guidance on model optimization, fine‑tuning, distributed training, inference acceleration, and cost governance across multi‑cloud environments

Lead technical due diligence, platform evaluations, and strategic recommendations for AI modernization and enterprise adoption

Establish CI/CD and MLOps best practices using AWS CodePipeline, SageMaker Pipelines, Azure ML Ops, and cloud‑native container platforms

Drive innovation through experimentation, POCs, and emerging model integration, acting as a thought leader for advanced AI engineering across the organization

Qualification

AI/ML ArchitectureAWSAzurePythonMLOpsMicroservicesContainerizationData ScienceCI/CDSoft Skills

Required

Language Fluency: English (Required)

Teammate reports to the division head of enterprise architecture for EA division such a commercial banking and is accountable for a squad (squad (e.g. Lending, Insurance, Mortgage, Security, Platform, Cloud, Payments, Online Banking, etc.)

He/She will focus on business capabilities, application/platforms/system architecture elements enterprise wide

Leads in the development of enterprise architecture standards, enforcement and compliance

Applies advanced knowledge of the business and IT architecture principles to identify and evaluate alternatives solutions

Leads the selection of methodologies, tools, and components of total IT solutions

Provides guidance and support for SA's to implement complex architectural strategy and direction of multiple and diverse application / data/network disciplines on a variety of multi-platform systems

Develops business-system architecture plans and reviews cost and feasibility of system requests while ensuring the plan supports the strategic needs of the company

Interprets internal/ external business challenges and recommends best practices

Uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Mentors less experienced teammates to build technical expertise

As a Principal AI/ML Engineer, you will serve as a hands‑on technical authority driving the architecture, design, and delivery of next‑generation AI systems across AWS and Azure

You will shape multi‑agent architectures, guide ML platform strategy, and partner with senior engineering, product, and enterprise leaders to define how AI is built and deployed at scale

This role balances deep technical execution with cross‑org influence, thought leadership, and coaching of engineering teams

Lead cross cutting enterprise solution design that span across multiple CIOs and domains

Maintain a high level of awareness and understanding of existing and emerging technologies, as well as industry and bank issues, to effectively match them

End to end accountability to review and approve design solutions that best meet the business needs of the enterprise, with a primary focus on innovation

Lead or 'jump start' initiatives deemed critical to IT Services and Truist's success