Forward Deployment Architect – Agentic AI & Data AcceleratorsLocation: Bridgewater, NJ / Dallas, TX (Onsite)Fulltime ($150K PA – Don't hold any profiles on salary)Indent: PSL307128-5-2Role SummaryWe are seeking a
Forward Deployment Architect to lead the design, deployment, and scaling of
Agentic AI–based data accelerator solutions across enterprise customers. This role combines
deep technical expertise, customer engagement, and team leadership, focused on delivering
production grade GenAI and agentic solutions on
AWS, Azure, and GCP.
You will own customer success from
solution architecture through production rollout, mentor FDE teams, and act as a strategic advisor on
Agentic AI platform adoption.
Key Responsibilities- Lead end to end deployment of Agentic AI–driven data accelerator solutions
- Act as senior technical advisor for strategic enterprise customers
- Architect and guide implementation of agentic frameworks (planning, tools, memory, orchestration)
- Design scalable backend systems using Python, FastAPI, Flask, and REST APIs
- Oversee deployments across AWS, Azure, and GCP
- Drive adoption of GenAI, LLMs, RAG pipelines, embeddings, and vector databases
- Guide UI integration using React for demos and production solutions
- Mentor and lead teams of Forward Deployment Engineers
- Partner with product, platform, sales, and leadership teams to influence roadmap
- Establish reusable accelerators, architectures, and best practices
Required Skills & Experience- 15+ years of experience in software engineering, cloud platforms, or AI solutions
- Strong hands on expertise in Python and API based architectures
- Extensive experience with FastAPI, Flask, RESTful services
- Proven experience delivering Generative AI / LLM based solutions in production
- Strong understanding of Agentic AI systems and frameworks
- Deep multi cloud experience: AWS, Azure, GCP
- Working knowledge of React for frontend integration
- Demonstrated leadership in customer facing or forward deployed engineering roles
- Excellent communication, technical leadership, and stakeholder management skills
Preferred / Nice to Have- Experience building enterprise scale AI accelerators or platforms
- LLMOps / MLOps and cloud native architectures (Docker, Kubernetes)
- Background in data platforms, analytics, or large scale distributed systems
Why This Role- Lead cutting edge Agentic AI initiatives at enterprise scale
- High visibility role influencing AI adoption and platform strategy
- Opportunity to mentor teams and shape forward deployment practices
- Work across multi cloud, GenAI, and agentic systems