Artificial Intelligence Agent Engineer

• Designs, engineers, and operationalizes intelligent software agents that utilize large language models and AI systems to automate workflows, retrieve and reason over enterprise knowledge, and deliver business outcomes.
• Applies principles of software engineering, information retrieval, and agent orchestration to construct production-grade agents that plan tasks, call tools and APIs, coordinate with other agents, and interact safely with users and services.
• Architects end-to-end agent systems encompassing memory/state, retrieval layers, evaluation, and governance.
• Integrates agents with cloud platforms and enterprise applications; establishes observability and lifecycle controls; and optimizes for accuracy, reliability, latency, scalability, and unit cost.
• Collaborates with product, security, legal, and operations stakeholders to reimagine processes with agents at the center and align deployments with organizational standards and compliance requirements.
• May lead technical reviews and mentor engineers contributing to shared frameworks, SDKs, and agent platforms.
• Analyzes candidate business processes and user journeys to identify automation opportunities suitable for agentic patterns (planning, tool use, multi-step reasoning, delegation).
• Develops production-grade agents using modern frameworks and libraries and implements modular, testable code for skills, tools, connectors, and multi-agent collaboration.
• Implements retrieval-augmented generation pipelines and curates embeddings, vector indexes, chunking strategies, and grounding policies to ensure factuality and source attribution.
• Integrates agents with enterprise systems and external services (CRM, ticketing, knowledge bases, data warehouses, messaging, analytics) and manages identity, authorization, and auditability.
• Engineers multi-agent communication and handoff mechanisms to enable cooperative task execution, error recovery, and fallback strategies.
• Optimizes inference performance and cost and applies prompt and policy tuning, caching/batching, quantization, and model/vendor selection to meet service-level objectives.
• Plans and executes versioning, testing, and rollout strategies (unit, integration, regression, UX).
• Maintains agent knowledge interfaces and schedules corpus refresh, drift detection, and policy updates to keep outputs aligned with evolving data and business rules.
• Troubleshoots incidents spanning data, orchestration, inference, and integration layers.
• Performs root-cause analysis and deploys durable fixes and post-incident improvements.
• May engineer voice and telephony integrations, configure call routing and metadata exchange, and ensure audio quality and fallbacks for conversational agents
• May design synthetic-data generation and labeling workflows to expand evaluation coverage and accelerate tuning.
• May participate in governance forums and vendor assessments, comparing models, orchestration frameworks, and hosting strategies against technical and commercial criteria

Due to the integrated nature of this Cyber Defense Operations support team, this position will also support the planning, design, implementation, and continuous improvement of the organization’s technical infrastructure to ensure it is secure, scalable, resilient, and aligned with mission requirements. Responsibilities may include evaluating and recommending infrastructure and systems architecture; designing and validating server, storage, database, cloud, and network infrastructure solutions; developing and maintaining architectural standards and technical documentation; identifying opportunities to improve performance, reliability, security, and automation; and collaborating with engineers and operations personnel to implement infrastructure enhancements. The incumbent may develop scripts and automation to streamline infrastructure management and operational processes and will ensure infrastructure designs support cybersecurity, operational resiliency, and long-term organizational objectives.

• Bachelors degree in Computer Science, IT or related field.
• 5+ yrs of recent relevant experience
• Certifications: CISSP-ISSMP or GSLC or Legacy CCSP or CISSP. CASP+ or CCNP Security or CCSP or GCIA or GCED or GCIH or Legacy Cisco Certified Network Associate (CCNA)
• TS/SCI Clearance

Pulled from the full job description

• Tuition reimbursement
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance
• Flexible spending account, SGS offers a competitive benefits package to include: paid holidays, paid time off including sick and vacation leave, medical, dental and vision insurance, flexible spending accounts, short and long term disability, company paid life insurance, 401(k) with a company match and discretionary profit sharing and tuition reimbursement

We are STS Government Solutions (SGS), a government contracting and consulting firm supporting several military installations and federal agencies across the nation. We are currently supporting a new mission in San Antonio, TX and seeking additional team members to join our team. SGS is seeking a Information Assurance Engineer III with infrastructure architecture experience for a new effort at Lackland AFB in San Antonio, TX.