Senior AI Engineer - Agentic AI & Enterprise Security

Tooling Research AI Agents Operations Leadership Governance Scalability AI Adoption Claude Code GitHub Copilot Agentic Systems Security Controls Business Valuation Prompt Engineering Token Optimization Enterprise Security Multi-Agent Systems Security Engineering Software Engineering Software Development Full Stack Development Artificial Intelligence Business Transformation Requirements Elicitation Business Continuity Planning Model Context Protocol (MCP) Python (Programming Language) Systems Development Life Cycle Enterprise Application Software Software Development Life Cycle Artificial Intelligence Strategy Artificial Intelligence Infrastructure Application Programming Interface (API) Applications Of Artificial Intelligence

At least 12 years $145,600 / yr Posted yesterday, * Design, build, and deploy autonomous AI agents that automate and enhance enterprise business workflows

• Architect multi-agent systems including agent orchestration, tool usage, memory frameworks, retrieval systems, and agent-to-agent communication
• Develop AI-powered capabilities across the Software Development Lifecycle (SDLC)
• Build guardrails, security controls, and governance frameworks for AI-generated outputs
• Create scalable solutions that integrate with enterprise platforms, APIs, CI/CD pipelines, ticketing systems, security tooling, and cloud platforms
• Optimize context windows, token usage, latency, reliability, and operational costs
• Collaborate with engineering, security, product, and leadership teams to define AI strategy and implementation roadmaps
• Establish evaluation frameworks to measure AI accuracy, safety, effectiveness, and business outcomes
• Mentor teams and help drive adoption of AI engineering best practices across the organization, * Drive AI initiatives from idea to production without constant direction
• Clearly explain architecture decisions, technical trade-offs, and business outcomes
• Demonstrate end-to-end ownership of deployed AI solutions
• Build secure, scalable AI systems used across the enterprise
• Deliver measurable improvements in productivity, quality, security, or operational efficiency

• 10-12+ years of software engineering experience
• 1-3+ years of hands-on AI engineering experience
• Proven success deploying AI solutions into enterprise production environments
• Strong security engineering and secure-by-design expertise
• Experience building agentic systems that operate at scale across business workflows

If you’ve engineered and deployed autonomous AI solutions that are actively used by large organizations and can clearly articulate the architectural decisions, trade-offs, security considerations, and business impact behind those implementations, we’d love to speak with you., * 10-12+ years of software engineering experience

• 1-3+ years of dedicated AI engineering experience
• Proven experience deploying AI applications into enterprise production environments
• Experience supporting solutions with large-scale organizational adoption, significant transaction volumes, or broad user bases
• Experience working within large enterprise organizations or highly scalable technology environments

Technical Expertise

• Strong proficiency with Python and modern software engineering practices
• Hands-on experience building and deploying autonomous agents and agentic workflows
• Experience with:
• Multi-agent systems
• Agent orchestration
• Tool/function calling
• Retrieval-augmented generation (RAG)
• Context engineering
• Memory architectures
• Structured outputs
• LLM evaluation frameworks
• LLMOps
• Deep understanding of:
• Token optimization and context management
• API design
• Scalable system architecture
• Event-driven systems
• Cloud-native applications
• Experience integrating with enterprise systems and platforms

Security & Enterprise Engineering

• Experience designing solutions that meet enterprise security and compliance standards
• Understanding of secure development practices and security-first architecture
• Experience implementing AI governance, guardrails, validation frameworks, or security controls, * Application Security
• DevSecOps
• Threat Modeling
• Secure Software Supply Chain
• Security Automation
• AI Safety & AI Governance
• Security Harness Engineering
• OWASP Top 10 for LLM Applications
• NIST Secure Software Development Framework (SSDF)
• AI coding assistants such as GitHub Copilot, Claude Code, Cursor, or Devin
• MCP (Model Context Protocol), Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.