Ai Engineer
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Role details
Tech stack
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Job description
Research AI Agents Operations Automation Scalability AI Adoption Communication Presentations Systems Design Business Acumen Microsoft Azure Business Problems Business Valuation Prompt Engineering Workflow Management Multi-Agent Systems Business Requirements Solution Architecture Full Stack Development Artificial Intelligence Business Transformation Stakeholder Communications Product Family Engineering Model Context Protocol (MCP) Microsoft Certified Professional Applications Of Artificial Intelligence $166,400 - $176,800 / yr Posted yesterday, Senior AI Engineer / Forward Deployed Engineer
About the Opportunity
Join a newly formed, executive-sponsored AI Transformation organization focused on delivering enterprise-scale AI solutions across a large global enterprise. This team sits at the intersection of business, product, and engineering, partnering directly with stakeholders to identify high-impact opportunities and rapidly bring AI-powered solutions into production.
This is not a research role and it’s not a platform engineering role. You’ll work directly with business partners to solve real-world problems using modern AI technologies, helping define how AI is adopted throughout the organization.
What You’ll Do
- Partner with business stakeholders to understand challenges and identify opportunities for AI-driven transformation.
- Translate ambiguous business requirements into scalable technical solutions.
- Design, build, and deploy AI-powered applications and agentic workflows.
- Develop production-grade solutions leveraging LLMs, AI agents, MCPs, skills, and modern AI frameworks.
- Rapidly prototype ideas, validate business value, and iterate based on stakeholder feedback.
- Conduct solution demos and communicate technical concepts to both technical and non-technical audiences.
- Collaborate with product, program, and engineering teams to drive adoption and measurable business outcomes.
- Help establish best practices for enterprise AI delivery and implementation., You will be successful if you can:
- Turn vague business requests into production-ready AI solutions.
- Rapidly deliver prototypes that demonstrate clear business value.
- Drive adoption of AI tools and applications across teams.
- Improve efficiency, accuracy, and operational outcomes through AI.
- Serve as a trusted technical advisor to stakeholders.
Requirements
- AI Engineering Expertise
- Experience building and deploying AI applications into production environments.
- Hands-on experience developing AI agents from scratch.
- Strong understanding of LLMs, agent architectures, prompt engineering, and context engineering.
- Experience with MCP (Model Context Protocol), skills, tools, harnesses, or similar agent frameworks.
- Solution Architecture & Problem Solving
- Proven ability to take ambiguous business problems and decompose them into technical solutions.
- Strong systems design and solution architecture capabilities.
- Ability to evaluate multiple approaches and determine the most effective implementation strategy.
- Product & Stakeholder Management
- Experience working directly with business stakeholders or customers.
- Strong communication and presentation skills.
- Ability to balance technical excellence with business impact.
- Demonstrated product mindset and customer empathy.
- Preferred Qualifications
- Experience building multi-agent systems.
- Experience with RAG architectures and vector databases.
- Background in AI-powered automation or workflow orchestration.
- Experience building coding agents or AI-assisted developer tools.
- Experience delivering customer-facing AI products.
- Cloud experience with AWS, Azure, or GCP.
- Experience in highly regulated or enterprise-scale environments., We’re looking for an engineer who combines deep AI expertise with strong business acumen. You’ll thrive in this role if you’re equally comfortable discussing enterprise challenges with stakeholders, architecting AI solutions, and building production-quality applications.
Top 3 Must-Have Skills
- Production AI Agent Development (LLMs, Agents, MCP, Skills, Harnesses)
- Ability to Decompose Ambiguous Business Problems Into Technical Solutions
- Strong Product Mindset and Stakeholder Communication Skills, Python, Artificial intelligence, 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.
About the company
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.
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