AI Agentic Engineer

Truist Bank • Charlotte, NC

1d • Onsite

About The Position

AI Agentic Engineer designs, builds, tests, and deploys enterprise AI agents and intelligent workflow automations across a modern, multi-platform ecosystem. This role aligns to The Forge operating model with Azure as the primary cloud while also supporting AWS and Google Cloud where specific AI workloads or services warrant multi-cloud deployment.

This is a hands-on engineering role focused on agentic systems, enterprise workflow automation, prompt architecture, tool integrations, retrieval-augmented generation (RAG), memory and session handling, evaluation, observability, and secure production deployment. The engineer works across platforms such as Microsoft Copilot, Microsoft 365 Copilot, Microsoft Copilot Studio, Azure AI / Foundry services, Amazon Bedrock AgentCore, Google Vertex AI Agent Builder / Agent Engine, and modern agent frameworks used to build, orchestrate, and operate enterprise agents.

Daily work includes building agent workflows, integrating enterprise systems and APIs, configuring tools and memory, implementing runtime logic, deploying to managed runtimes and cloud-native environments, validating output quality, and operating within enterprise governance, security, and release controls. This role is AI-augmented by design: the engineer is expected to use approved development acceleration tools while remaining accountable for architecture choices, code quality, security, testing, and production readiness.

For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status)

We do not have approval to consider OPT talent to include current or future sponsorship at this time

Requirements

• Bachelor’s Degree and six to ten years of experience or equivalent education and software engineering training or experience
• In-depth knowledge in information systems and ability to identify, apply, and implement best practices
• Understanding of key business processes and competitive strategies related to the IT function
• Ability to plan and manage projects and solve complex problems by applying best practices
• Ability to provide direction and mentor less experienced teammates. Ability to interpret and convey complex, difficult, or sensitive information
• 3+ years of software engineering experience building, testing, and supporting production applications or services.
• Strong coding ability in Python and working knowledge of TypeScript, JavaScript, or another modern engineering language used in enterprise application development.
• Practical experience with one or more enterprise AI or agent platforms such as Microsoft Copilot, Microsoft Copilot Studio, Azure AI / Foundry services, Amazon Bedrock AgentCore, or Google Vertex AI Agent Builder / Agent Engine.
• Experience building or supporting agentic systems, workflow automation, tool-calling solutions, prompt-driven applications, or multi-step AI workflows.
• Experience integrating APIs, connectors, enterprise tools, and data services securely and reliably using sound authentication, error handling, and observability practices.
• Familiarity with cloud-native delivery patterns such as CI/CD, containers, Kubernetes, Infrastructure as Code, and production runtime support.
• Experience testing or validating AI outputs, including non-deterministic quality, regression behavior, and reliability in production workflows.
• Ability to work within enterprise security and governance guardrails, including identity, access control, auditability, release controls, and production deployment gates.
• Strong communication skills and the ability to work effectively in cross-functional teams operating at startup speed inside enterprise controls.

Nice To Haves

• Experience with Microsoft Copilot Studio agent creation, workflows, prompts, tools, MCP servers, evaluations, analytics, and Microsoft 365 / Teams publishing patterns.
• Experience with Microsoft Foundry Agent Service or Azure AI agent services including hosted agents, memory, observability, identity, security, and publishing models.
• Experience with Amazon Bedrock AgentCore services including Runtime, Memory, Gateway, Identity, Browser, Code Interpreter, observability, MCP compatibility, and A2A-style interoperability.
• Experience with Vertex AI Agent Builder or Vertex AI Agent Engine, including managed runtime, sessions, memory bank, code execution, observability, and governance features.
• Experience with Microsoft Agent Framework, Semantic Kernel familiarity, or teams/codebases transitioning from Semantic Kernel or adjacent orchestration libraries.
• Experience with RAG, vector databases, memory stores, agent evaluation, observability, human-in-the-loop design, or multi-agent orchestration patterns.
• Experience in financial services, cybersecurity, or another regulated enterprise environment.
• Experience using AI-assisted development tools such as GitHub Copilot, Devin, Cursor, or equivalent tools within production delivery workflows.
• Single-agent and multi-agent orchestration patterns.
• Tool-use frameworks and governed action patterns, including connectors, APIs, MCP-compatible tools, and secure function invocation.
• Retrieval-augmented generation, enterprise grounding, vector retrieval, and search-backed reasoning patterns.
• Agent memory, sessions, context persistence, and conversation-state management.
• Evaluation, observability, tracing, and runtime monitoring for agent systems in production.
• Human-in-the-loop controls, approval workflows, and governed escalation paths.
• Prompt engineering, workflow controls, and runtime logic that balance autonomy with enterprise safety and reliability.

Responsibilities

• Build and deploy enterprise AI agents and workflow automations using approved platforms and frameworks, including Microsoft Copilot, Microsoft 365 Copilot, Microsoft Copilot Studio, Azure AI / Foundry services, and other enterprise agent runtimes where appropriate.
• Implement single-agent and multi-agent workflows using approved Forge patterns, including prompt orchestration, tool calling, human-in-the-loop controls, memory-aware execution, and governed deployment standards.
• Build and maintain integrations to enterprise APIs, business applications, data sources, workflow tools, and secure action frameworks using governed authentication, authorization, logging, and resiliency patterns.
• Design and maintain prompt architectures, tool schemas, structured reasoning logic, and workflow controls that produce reliable, accurate, safe, and auditable outputs in production environments.
• Contribute to RAG, grounding, and enterprise data retrieval patterns using vector stores, search services, knowledge sources, and governed data pipelines.
• Configure and manage memory, session, and context handling for agents, including conversation state, intermediate task state, persistent knowledge, and session-aware execution behavior.
• Deploy and support agent workloads across managed or cloud-native runtimes using CI/CD, containers, Kubernetes, Infrastructure as Code, release management, and environment promotion controls.
• Support evaluation, testing, and quality monitoring for non-deterministic AI systems, including regression testing, hallucination detection, drift monitoring, accuracy checks, and outcome validation.
• Apply enterprise security, identity, guardrails, and governance requirements to all agent deployments, including deployment gates, role-based access, auditability, content filtering, and runtime controls.
• Use approved AI-augmented development tooling to accelerate coding, testing, refactoring, and documentation while maintaining accountability for correctness and production quality.
• Maintain technical documentation including design notes, runbooks, prompt documentation, integration specifications, and operational support materials.
• Partner with architecture, product, security, QA, data, platform, and enablement teams to deliver agentic capabilities that solve real business problems while adhering to the Forge gold standard.

Benefits

• Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates.
• Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays.
• Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees