Forward Deployment Engineer – AI & Agentic Solutions
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Job Description
Forward Deployment Engineer working on AI-enabled solutions for clients at Visionary Integration Professionals. Collaborating with customers to design, prototype, and support implementations across various sectors.
Responsibilities:
- Work directly with VIP customers to understand business processes, pain points, operational challenges, and opportunities where AI or agentic solutions can create measurable value.
- Design, prototype, and support implementation of AI-enabled solutions using large language models, agentic workflows, retrieval-augmented generation, API integrations, automation tools, and human-in-the-loop review patterns.
- Translate customer requirements into solution designs, technical architectures, implementation plans, prototypes, and production-readiness recommendations.
- Support AI adoption across use cases such as software quality, test automation, knowledge management, document analysis, workflow automation, case management, citizen services, operational reporting, and decision support.
- Build working demos, proof-of-concepts, pilots, and reusable accelerators that can be adapted across VIP customer engagements.
- Support the transition from prototype to production by helping define technical requirements, integration needs, security considerations, testing approaches, support models, and adoption plans.
- Help customers evaluate AI use cases through the lens of data privacy, security, compliance, auditability, accuracy, explainability, and operational risk.
- Lead or support customer workshops focused on AI opportunity discovery, solution design, pilot planning, implementation readiness, and adoption planning.
- Communicate technical concepts clearly to both executive and technical audiences.
- Create customer-facing documentation, including solution briefs, architecture summaries, implementation roadmaps, pilot plans, operating procedures, and adoption guides.
- Train customer teams on how to use, manage, evaluate, and improve AI-enabled solutions.
- Help customers move beyond experimentation by identifying practical steps required for adoption, governance, support, and long-term value realization.
- Partner with VIP delivery teams to integrate AI capabilities into broader consulting, implementation, quality assurance, DevOps, data, and application modernization efforts.
- Share lessons learned across VIP’s SLG and Commercial delivery teams.
- Provide technical guidance to VIP consultants who are incorporating AI into existing service offerings.
- Contribute to VIP’s evolving delivery methodology for responsible and practical AI adoption.
Requirements:
- 5+ years of experience in a customer-facing technical role such as solution architect, forward deployed engineer, technical consultant, implementation consultant, software engineer, automation architect, AI engineer, or systems integration consultant.
- Strong practical knowledge of various AI/LLM platforms including OpenAI, Anthropic, Microsoft Copilot/Azure AI, Google Gemini, AWS AI services.
- Hands-on experience designing, building, or implementing AI-enabled solutions, automation solutions, enterprise integrations, workflow-based systems.
- Experience with agentic AI solution patterns, including tool use, multi-step agents, AI workflow orchestration, MCP, retrieval-augmented generation, and evaluation frameworks.
- Strong technical foundation in several of the following areas: Python, JavaScript/TypeScript, REST APIs, prompt engineering, data integration, workflow automation, test automation, DevOps, enterprise application integration.
- Ability to work directly with customers and software vendors to gather requirements, assess feasibility, design solutions, explain tradeoffs, and support implementation.
- Strong written and verbal communication skills, including the ability to explain technical topics to non-technical stakeholders.
- Experience creating technical documentation, solution designs, architecture summaries, implementation plans, or customer enablement materials.
- Ability to work independently in ambiguous customer environments while still following structured delivery practices.
- Ability to travel periodically for customer workshops, project meetings, and onsite delivery activities.
- Experience in ERP/CRM implementations, enterprise workflow automation, case management, software quality, test automation, DevOps, application modernization, digital transformation.
- Understanding of concepts and importance of AI governance, responsible AI, model evaluation, data privacy, compliance, and security review.
Benefits:
- Medical
- Dental
- Vision
- 401(k) Plan and Company Match
- Short-Term and Long-Term Disability coverage
- Basic Life Insurance
- 7 Paid Holidays
- Flexible Paid Time Off
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