Forward Deployment Architect – Agentic AI & Data Accelerators Location: Bridgewater, NJ / Dallas, TX (Onsite) Fulltime ($150K PA – Don't hold any profiles on salary) Indent: PSL307128-5-2
Role Summary We 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
Numbers & Facts
Location
Alexandria, VA
Skills
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Customer Relationsunmatched
Data Analysisunmatched
Distributed Computingunmatched
Dockerunmatched
Flaskunmatched
GCP (Good Clinical Practices)unmatched
Large-Scale Systemsunmatched
Leadershipunmatched
Memory Hardwareunmatched
Mentoringunmatched
Microsoft Windows Azureunmatched
Product Demonstrationunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Salesunmatched
Software Engineeringunmatched
Systems Scalabilityunmatched
Team Lead/Managerunmatched
Technical Leadershipunmatched
Technical Strategyunmatched
User Interface/Experience (UI/UX)unmatched
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