Ai Engineer Jobs

About The Position

Requirements

• 8+ years of professional engineering experience, with a track record of designing, shipping, and operating production systems.
• Bachelor's degree in computer science or a related field, or equivalent practical experience.
• Hands-on experience building with LLM APIs, agent frameworks, or AI-powered applications that ran in production or were used by real people, including agentic patterns such as tool use, orchestration, and human-in-the-loop design.
• Depth with modern agentic AI toolchains and coding agents including Anthropic Claude, Snowflake, Omni, and MCP-based architectures, or a demonstrated ability to develop that depth quickly, including connector and tool integration, skill and subagent design, and prompt engineering.
• Cloud fluency, with Microsoft Azure strongly preferred; experience with enterprise cloud data platforms (e.g., Snowflake or comparable).
• Evaluation and testing discipline: you can define what good means for an agent and prove it before production.
• Security- and governance-minded: comfortable with data classification, least-privilege design, auditability, and human-in-the-loop controls.
• Strong proficiency in Python; comfort with additional languages (TypeScript/JavaScript, SQL) is a plus.
• Willingness to work in a hybrid environment (3 days per week onsite at Reston, VA headquarters).

Nice To Haves

• Experience designing APIs, services, and data pipelines. You think in systems, not scripts.
• Ability to operate with high autonomy. You scope your own work, make architectural decisions, and own outcomes.
• Excellent communication skills, with the ability to explain technical concepts and trade-offs to non-technical executives and business partners.
• Willingness to work across the full range of business systems, including the unglamorous ones where the high-impact problems live.
• Experience building shared AI infrastructure or developer platforms that enable multiple teams to build on your foundation.
• Familiarity with multi-agent orchestration patterns: task decomposition, tool-use pipelines, agent memory, and human-in-the-loop workflows.
• Experience with retrieval-augmented generation, embeddings, vector search, and unstructured-document pipelines (ingestion, chunking, metadata enrichment).
• Experience with LLMOps/MLOps tooling: model registries, CI/CD, monitoring and observability, drift detection, and cost controls.
• Experience with the Microsoft AI ecosystem (Copilot Studio, Azure AI Foundry, Power Platform) and judgment about when to lean in versus build.
• Experience turning ambiguous business processes into working agents in a non-tech industry (construction, real estate, manufacturing, financial services).
• Track record of mentoring engineers and influencing senior technical and business leaders.

Responsibilities

• Stand up and own Stanley Martin’s agentic AI platform: enterprise agentic tooling and coding-agent configuration, API access, MCP (Model Context Protocol) servers and secure connectors to core business systems (ERP, cloud data platform, HR, finance, and collaboration systems), and the secure development environment.
• Operationalize the company’s secure AI adoption framework as the baseline for all agent development.
• Build out the enterprise context layer in partnership with Business Technology: turn institutional knowledge, process documentation, business rules, and system metadata into governed, machine-readable context (knowledge bases, semantic models, and MCP resources) that agents rely on to reason accurately about how Stanley Martin works.
• Partner with EDAP and business stakeholders to operationalize semantic models, business definitions, and enterprise context required for trusted AI solutions.
• Build and maintain a version-controlled repository of reusable skills, agent templates, and reference architectures.
• Define the standard patterns, starter kits, and guardrails that let EDAP, DEV, and other teams and users build agentic solutions safely on the platform.
• Design, build, and ship production agentic systems end-to-end, from discovery and scoping through architecture, implementation, evaluation, and deployment.
• Deliver the team’s first production agents in partnership with executive sponsors across business functions.
• Implement core agentic patterns: tool and function calling, planner-executor flows, structured output, multi-step reasoning, retrieval-augmented generation, and human-in-the-loop controls.
• Build hybrid solutions where agents reason and decide, then call deterministic automations to execute, partnering with Business Technology on the automation layer.
• Operate across a heterogeneous environment that includes cloud infrastructure, an enterprise data platform, productivity and collaboration systems, Microsoft Dynamics ERP, and 3rd party SaaS platforms (e.g., Salesforce).
• Build the evaluation harness every agent must pass before production: test cases, accuracy thresholds, and quality regression testing.
• Establish and run the formal agent review process, covering intake, design and data-classification review, security review, human-in-the-loop tier assignment, and promotion gates from development to production.
• Implement observability for deployed agents, including audit logging of agent actions, telemetry on usage, errors, latency, and drift, and scheduled post-deployment reviews.
• Implement cost and value controls, including usage monitoring and model routing.
• Ensure every solution aligns with Stanley Martin’s AI policies, data classification standards, least-privilege access design, and responsible AI guardrails.
• Build and curate the central agent and skill catalog, so agentic capabilities are discoverable and reusable across the company rather than rebuilt.
• Publish documentation standards and contribute reusable connectors and skill packages.
• Support EDAP (data-platform AI capabilities), DEV (workflow automation and system integrations), and other teams so they build on the platform under shared standards.
• Lead internal showcases and demos that drive adoption across divisions and functions.
• Partner directly with business stakeholders to map real workflows, capture institutional knowledge, and identify high-leverage agentic AI opportunities.
• Help triage incoming ideas between agentic AI and conventional automation, routing deterministic work to the right lane.
• Influence technical direction by setting architecture patterns, reviewing designs, and raising engineering standards.
• Mentor engineers and builders across the company on agentic patterns and best practices as adoption grows.
• Stay current on advancements in agent frameworks, evaluation approaches, and responsible AI governance, and translate them into Stanley Martin’s roadmap.
• Complete all other duties as assigned by manager.
• Represent the company professionally in all internal and external interactions and communications.
• Adhere to safety standards and help promote a safe working environment.
• Adhere to and promote the Mission, Vision, and Values of Stanley Martin Homes

Benefits

• Access to competitively priced, high-quality health care options through Aetna, MetLife and EyeMed, along with employer-paid Short Term and Long Term disability, basic life and AD&D insurance (including employee-paid life, Legal Resources, and Aflac supplemental options)
• Plan for the future by investing in a 401(K), with up to $5K employer match, invest even more with our Health Savings Account (HSA)
• Put your family first with benefits, including 3 weeks of paid parental leave and a Flexible Spending Account (FSA) for dependent care
• 12 weeks of paid maternity leave through our Short-Term Disability Plan
• Receive well-rounded wellness benefits, including free and low-cost mental health resources and support services through our Employee Assistance Program
• Continue your education with tuition and certification reimbursement
• Rest and relax with 15 days of vacation (increases with tenure) and 6 days of paid sick leave
• Protect yourself from identity theft or travel mishaps with our no-cost coverage
• Receive great discounts on buying a Stanley Martin home and discounts with our partners in mortgage and title services as well as cell phone service through Verizon
• Get access to your paycheck early with an advanced pay option through Dayforce Wallet
• Support local charities that are important to you through our Giving Back Program; with up to $250 match, 8 hours leave and more