Forward Deployed Engineer building production-oriented agentic AI solutions for enterprise clients. Translating executive business needs into rapid proofs of value and scalable architectures.
Responsibilities
Partner with Sales, Client Partners, and leaders to run CXO-level working sessions and translate business pain into an Outcome Thesis
Identify thin-slice wedges for rapid, measurable Proofs of Value
Communicate automation, assistance, human-in-the-loop, and safe-scale trade-offs
Build rapid Proofs of Value demonstrating business impact and technical feasibility
Implement agent workflows with tool use, enterprise-system integrations, and lightweight user experiences
Produce scalable Agentic Blueprints covering agent roles, orchestration, tools/APIs, data and knowledge strategy, guardrails, observability, and human-in-the-loop escalation
Define MVP backlogs and architecture decisions involving identity/access, audit, logging, fallback design, policy boundaries, and deployment models
Hand off production-ready plans to delivery teams
Design solutions using agentic AI foundations, knowledge fabric/RAG patterns, agent orchestration, governance, and observability
Deploy across AWS, Azure, GCP, and/or client environments and integrate with enterprise applications such as ServiceNow, Salesforce, SAP, and Microsoft stack
Ensure alignment with enterprise security, privacy, and compliance requirements
Serve as a technical closer in competitive pursuits through demos, workshops, architecture deep dives, and technical validation
Create reusable accelerators including prompt packs, workflow templates, connectors, evaluation suites, and reference architectures
Contribute to thought leadership and field playbooks
Operate in tight pods with Sales, Industry leaders, BlueVerse product/platform teams, and delivery squads
Maintain a strong hands-on building focus rather than serving in a purely advisory role
Requirements
8+ years of experience in full-stack engineering / solution architecture / technical consulting, with significant client-facing delivery
Demonstrated ability to build quickly under ambiguity while maintaining sound architecture instincts
Strong experience with modern AI stacks, including LLMs/agent patterns: orchestration, tool-calling, planning/execution loops, and memory patterns
Experience with RAG and knowledge systems: embedding strategies, chunking, vector databases, and retrieval evaluation
Experience with evaluation: offline and online evaluations, regression suites, safety tests, and red-teaming basics
Strong software engineering fundamentals: APIs, data pipelines, integration, and distributed systems basics
Proficiency in Python and one of TypeScript, Java, or Go
Comfortable across frontend and backend development as needed
Cloud-native experience with AWS, Azure, or GCP; containers, CI/CD, and observability fundamentals
Exceptional communication skills, translating technical complexity into business impact for senior stakeholders
Proven delivery of GenAI/agentic solutions in production preferred
Experience integrating with ServiceNow, Salesforce, SAP, Microsoft Graph/O365, Databricks, or Snowflake preferred
Experience with GenAI security and governance preferred, including data boundaries, access control, auditability, model risk, and compliance evidence
Familiarity with LLMOps/AgentOps concepts preferred, including versioning, telemetry, drift monitoring, and cost governance/FinOps
Domain depth in one or more focus verticals preferred: Travel/Transportation/Hospitality, Retail/CPG, BFSI, Manufacturing, or Media
Relevant cloud, security, or data certifications are a plus
Expected to travel for client workshops, proofs of value, and executive meetings
Benefits
Comprehensive Medical Plan Covering Medical, Dental, Vision
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