Forward Deployed Engineer, Agentic AI

Confisa International Group · via Happy Techies

🌎 Remote ⏰ Full Time ⌛ Posted 5 days ago

Job Description

Role: ForwardDeployedEngineer**(FDE)********–AgenticAI****,**Americas
Role****Type: Client-facing, hands-on engineering + solutioning (pre-sales through early delivery)
Location: Major US hub (e.g., New York, Bay Area, Dallas, Chicago – flexible for the right candidate). Travel Expected.
Level: Manager/Principal/Senior Principal
Business****Unit: (Enterprise AI Platforms & Agentic Solutions).
Reportingto: Artificial Intelligence Leader, North America.

About Company:

Global technology consulting and digital solutions company that enables enterprises across industries to reimagine how they operate, compete, and grow. By combining deep domain knowledge, advanced engineering, and transformation expertise, delivers measurable business impact at scale.

Enterprise AI business unit, purpose built to help organizations move beyond pilots into scaled, product iongrade AI adoption, functional consulting, an AI Foundry, and agentic AI platforms to deliver integrated solutions that transform how work gets done across the enterprise.Operating across Banking, Insurance, Manufacturing, Retail/CPG, Energy & Utilities, Travel & Hospitality, HiTech, and Media, works closely with industry GTM teams to create repeatable AI solutions, accelerators, and transformation programs aligned to real business outcomes.

Role****summary

Building and scaling enterprise grade GenAI**+AgenticAI** capabilities (Foundry, orchestration, governance/AgentOp, accelerators, and verticalized agents) across Fortune 2000 clients.

As a ForwardDeployedEngineer**(FDE)** , you will operate at the intersection of *executiveproblemframing,rapidengineering,andscalablearchitecture. You will engage directly with client CXOs and ssseni or leaders to identifyahighvaluewedge* , build a workingproofin****weeks , and translate that into a clear path toward MVP and scaled rollout on or nay hyper-scaler platforms.

You will be embedded in deals and client journeys—shipping real agentic systems, not slides.

** Key**** Responsibilities** __

*1)Executive-facingdiscovery*** &valueshaping**

Partner with Sales, Client Partners, and leaders to run CXO-levelworkingsessions that translate business pain into an Outcome****Thesis (KPI tree, baseline, uplift hypothesis, operating constraints).
Identify the right******“thin-slice****”**wedge for a rapid Proof of Value (PoV): high signal, measurable, low dependency, enterprise-relevant.
Communicate trade-offs clearly: what to automate vs assist, where human-in-the-loop is required, and what “safe scale” entails.

2)RapidProofofValueengineering

Build a rapid PoV that demonstrates business**impact+technicalfeasibility trustworthiness**
Implement agent workflowswith tooluse , integration to enterprise systems, and lightweight UI/experience for stakeholder clarity.
Create initial evaluation****harness (task success, accuracy, policy compliance, tool-call success, latency/cost) and capture baseline vs PoV lift.

*3)Agenticblueprint*** &path-to-scalehandoff**

Produce a scalable Agentic****Blueprint : agent roles, orchestration patterns, tools/APIs, data/knowledge strategy, guardrails, observability, and HIL escalation.
Define MVP backlog and architecture decisions: identity/access, audit, logging, fallback design, policy boundaries, and deployment model.
Hand off cleanly to delivery teams (MVP squads / pods) with a production-ready plan.

*4)Solutionarchitecture***+clientecosystem**

Design solutions using constructsorhyperscalerAgenticAIfoundations (Foundry, knowledge fabric/RAG patterns, agent orchestration, governance, observability/AgentOps
Deploy across hyperscalers (AWS/Azure/GCP) and/or client environments; integrate with enterprise apps (e.g., ServiceNow, Salesforce, SAP, Microsoft stack).
Ensure alignment with enterprise security, privacy, and compliance requirements.

*5)Dealacceleration*** &**differentiation

Serve as a technical “closer” in competitive pursuits: demos, workshops, architecture deep dives, and technical validation.
Create reusable accelerators: prompt packs, workflow templates, connectors, eval suites, reference architectures—so future PoVs become faster and repeatable.
Contribute to thought leadership and field playbooks (industry use cases, POV patterns, autonomy ladder constructs, commercial hooks).

Whatsuccesslooks**like(12-month**outcomes)

Time-to-first-value: PoVs that reliably land in weeks with measurable outcomes.
Conversion: Strong PoV to MVP conversion rate (and clear roadmap to scale).
Executive****confidence: CXO trust built through crisp narratives + working systems.
Reusable****assets: Field-ready accelerators that reduce PoV cycle time quarter over quarter.
Scalability: PoVs designed with production realities in mind (security, observability, cost, controls).

Required****Qualifications

8+ years of experience in full-stack**engineering/solutionarchitecture****/technicalconsulting** , with significant client-facing delivery.
Demonstrated ability to build****quickly under ambiguity and still maintain sound architecture instincts.
Strong experience with modern AI stacks, including:
LLMs**/agentpatterns:** orchestration, tool-calling, planning/execution loops, memory patterns
RAG** &**knowledge: embedding strategies, chunking, vector databases, retrieval evaluation
Evaluation: offline + online evals, regression suites, safety tests/red-teaming basics
Strong software engineering fundamentals: APIs, data pipelines, integration, distributed systems basics.
Proficiency in Python + one of (TypeScript/Java/Go); comfortable across frontend + backend as needed.
Cloud-native experience (AWS/Azure/GCP), containers, CI/CD, and observability fundamentals.
Exceptional communication: can translate technical complexity into business****impact for senior stakeholders.

Preferred****Qualifications

Proven delivery of GenAI/agenticsolutionsin****production (not only prototypes).
Experience integrating with enterprise platforms: **ServiceNow,****Salesforce,****SAP,Microsoft(Graph/O365),**Databricks/Snowflake , etc.
Experience with security** &**governance for GenAI: data boundaries, access control, auditability, model risk, compliance evidence.
Familiarity with LLMOps/AgentOps concepts: versioning, telemetry, drift monitoring, cost governance (FinOps).
Domain depth in one or more focus verticals (Travel/Transportation/Hospitality, Retail/CPG, BFSI, Manufacturing, Media).
Relevant certifications (cloud, security, data) are a plus.

Core**competencies(whatdistinguishestop**performers)

Executive****presence: credible with CXOs; can run a room and drive decisions.
Structuredproblemframing: quickly identifies the highest-leverage wedge and measurement plan.
Builder****mindset: ships working systems rapidly; demos are grounded in real integrations.
Judgment** &**trust: knows where agents must be constrained; designs for safe autonomy.
Repeatability: turns one-off wins into reusable playbooks and accelerators.

Working****model

Travel: expected (client workshops, PoVs, exec meetings).
Operates in tight pods with Sales, Industry leaders, BlueVerse product/platform teams, and delivery squads.
Strong bias toward hands-on building (this role is not purely advisory).

Benefits