Forward Deployed Engineer – Agentic
About The Position
About Aligned Automation At Aligned Automation, we live by our "Better Together" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future. Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace. Forward Deployed Engineer – Agentic Transformation & AI-Native Portfolio Management Role Overview We are seeking a highly entrepreneurial Forward Deployed Engineer (FDE) to help design and deploy AI-native transformation solutions for enterprise clients. This role sits at the intersection of business strategy, AI engineering, systems thinking, and operational transformation. The ideal candidate can work directly with executive stakeholders to translate complex business problems into scalable agentic workflows and intelligent operating models.
Requirements
- Strong systems thinking with the ability to bridge business strategy, operating models, and technical execution to drive measurable transformation outcomes.
- Experience building AI-native applications leveraging LLMs, workflow orchestration, and multi-agent systems.
- Hands-on experience leveraging modern AI engineering and developer acceleration tools such as Cursor, Windsurf, Claude Code, Codex, and related AI-native tooling to rapidly prototype, iterate, and scale transformation initiatives.
- Hands-on experience with agent orchestration frameworks, retrieval architectures, and semantic knowledge systems including LangGraph, LangChain, vector databases, knowledge graphs, and RAG-based architecture.
- Experience operating in enterprise transformation, consulting, product operations, platform engineering, or digital transformation environments.
- Strong executive communication, stakeholder management, and cross-functional collaboration skills with the ability to work directly with senior business and technology leaders.
- Ability to operate in rapid sprint-based delivery environments, driving 1–2-week POD execution cycles from problem definition through implementation and adoption.
Nice To Haves
- Thinks like a systems architect but communicates like a strategist.
- Can move seamlessly between whiteboarding with executives and debugging orchestration flows.
- Understands both organizational transformation and AI implementation realities.
- Is energized by solving messy enterprise problems rather than building isolated technical features.
- Wants to help define the next generation of enterprise operating models powered by autonomous AI systems.
Responsibilities
- Work directly with customers to lead enterprise AI-native transformation initiatives focused on portfolio management, governance, delivery orchestration, and operational intelligence.
- Design and operationalize multi-agent systems and AI workflows for planning, prioritization, risk management, and decision support.
- Partner with executives, product teams, architects, and engineers to align business outcomes with technical implementation.
- Build rapid prototypes, proofs of concept, and scalable transformation accelerators using modern AI and orchestration frameworks.
- Define reusable patterns for human-in-the-loop governance, observability, agent coordination, and enterprise AI adoption.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
