What are the responsibilities and job description for the Forward Deployed Agentic Engineer position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Strategic Staffing Solutions, is seeking the following. Apply via Dice today!
Job Title: Forward Deployed Agentic Engineer Hiring FAST!
Industry: Finance
Location: Charlotte, NC
Pay Rate: $--/HR on W2 Only NO C2C
Setting: Hybrid Required (Remote is NOT an Option)
Duration: 9 months
Job ID: 245609
Overview
We are seeking a highly technical and business-facing Forward Deployed Agentic Engineer to help drive enterprise GenAI initiatives in a fast-moving, high-visibility environment. This role is ideal for engineers and architects currently working in large enterprise consulting or financial environments who want to move closer to real-world AI deployment, rapid innovation, and business impact.
This is not a traditional support or maintenance role. This position sits at the intersection of AI strategy, solution architecture, rapid prototyping, and enterprise execution. The team operates in fast-paced sprint cycles, partnering directly with engineering, data, security, and business stakeholders to build and operationalize AI-powered solutions.
The ideal candidate has experience translating ambiguous business problems into scalable GenAI solutions and is comfortable operating in undefined environments where speed, iteration, and pragmatic decision-making matter.
What You ll Be Doing
Job Title: Forward Deployed Agentic Engineer Hiring FAST!
Industry: Finance
Location: Charlotte, NC
Pay Rate: $--/HR on W2 Only NO C2C
Setting: Hybrid Required (Remote is NOT an Option)
Duration: 9 months
Job ID: 245609
Overview
We are seeking a highly technical and business-facing Forward Deployed Agentic Engineer to help drive enterprise GenAI initiatives in a fast-moving, high-visibility environment. This role is ideal for engineers and architects currently working in large enterprise consulting or financial environments who want to move closer to real-world AI deployment, rapid innovation, and business impact.
This is not a traditional support or maintenance role. This position sits at the intersection of AI strategy, solution architecture, rapid prototyping, and enterprise execution. The team operates in fast-paced sprint cycles, partnering directly with engineering, data, security, and business stakeholders to build and operationalize AI-powered solutions.
The ideal candidate has experience translating ambiguous business problems into scalable GenAI solutions and is comfortable operating in undefined environments where speed, iteration, and pragmatic decision-making matter.
What You ll Be Doing
- Design and document enterprise GenAI solution architectures across multiple initiatives
- Build and support AI-powered workflows leveraging LLMs, agentic orchestration, and enterprise integrations
- Partner closely with engineering, security, risk, and business teams to align AI solutions with enterprise standards
- Conduct rapid development sprints and iterate quickly on AI use cases and prototypes
- Define current state, interim state, and target state architecture designs
- Create architecture diagrams, integration patterns, and technical decision documentation
- Integrate AI platforms with APIs, enterprise systems, data pipelines, and cloud environments
- Support architecture governance, design reviews, and technical approvals
- Translate highly technical AI concepts into clear business-facing documentation and presentations
- Drive scalable patterns for AI adoption across enterprise platforms and workflows
- Strong experience in Solution Architecture, Enterprise Architecture, or AI-focused Architecture roles
- Hands-on experience with Generative AI technologies and Large Language Models (LLMs)
- Strong Python development experience
- Experience building AI integrations, agentic workflows, or LLM-enabled enterprise applications
- Experience with AI orchestration frameworks such as LangChain, LangGraph, or similar
- Familiarity with Retrieval Augmented Generation (RAG) concepts and enterprise AI patterns
- Experience working with APIs, event-driven architectures, and enterprise integrations
- Cloud architecture experience in AWS, Azure, or Google Cloud Platform
- Strong ability to document architecture decisions, workflows, and system integrations
- Experience with architecture and diagramming tools such as Visio, Lucidchart, or Draw.io
- Excellent communication skills with the ability to work across technical and non-technical stakeholders
- Engineers or architects from enterprise consulting organizations or large-scale enterprise technology environments
- Candidates who have worked on AI modernization, digital transformation, or enterprise innovation initiatives
- Individuals comfortable working directly with business stakeholders instead of isolated engineering teams
- Professionals who thrive in ambiguity, rapid iteration, and highly visible delivery environments
- Experience supporting enterprise AI adoption, governance, and operationalization efforts
- Experience building or deploying AI agents in production environments
- Exposure to multi-agent orchestration or autonomous workflow systems
- Experience integrating OpenAI, Anthropic, or enterprise AI platforms
- Familiarity with AI governance, observability, and enterprise risk considerations
- Experience working in highly regulated enterprise environments
- Consulting background strongly preferred
- Highly visible enterprise AI initiatives with executive sponsorship
- Opportunity to work on cutting-edge GenAI and agentic AI solutions
- Fast-moving environment focused on innovation and rapid delivery
- Blend of architecture, engineering, and business engagement
- Direct impact on enterprise AI transformation strategy
- Opportunity to shape scalable AI patterns and future-state architecture across the organization