Senior Specialist - Architecture

LTM

$120K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8 years of experience in full-stack engineering, solution architecture, and technical consulting with significant client-facing delivery
  • Ability to build quickly under ambiguity while maintaining sound architectural instincts
  • Strong experience with modern AI stacks, including LLMs, agent patterns, and orchestration
  • Proficient in Python and one of TypeScript, Java, or Go; comfortable across frontend and backend as needed
  • Cloud-native experience with AWS, Azure, GCP, containers, CI/CD, and observability fundamentals
  • Exceptional communication skills, capable of translating complex technical information for business leaders

Responsibilities

  • Engage with client CXOs and senior leaders to identify business pain points and develop strategic solutions
  • Build rapid Proof of Value (PoV) to demonstrate impact and feasibility of proposed solutions
  • Implement agent workflows and integrate tools into existing enterprise systems for clarity and efficiency
  • Develop scalable agent blueprints outlining necessary roles, tools, and APIs for future expansions
  • Define and prioritize MVP backlogs while making critical architectural decisions
  • Facilitate smooth handoffs to delivery teams with production-ready plans

Benefits

  • Fully remote work opportunity open to candidates in the United States
  • Close collaboration with global teams and executive stakeholders
  • Innovation-driven environment focusing on advancing AI solutions
  • Emphasis on a hands-on approach to building and delivering real systems rather than just advisory roles
Full Job Description
Role description

Role: Forward Deployed Engineer ( FDE )

Work Location: This is a fully remote position, open to candidates within the United States. The role requires close collaboration with distributed global teams.

As a Forward Deployed Engineer FDE you will operate at the intersection of executive problem framing rapid engineering and scalable architecture You will engage directly with client CXOs and senior leaders to identify a highvalue wedge build a working proof in weeks and translate that into a clear path toward MVP and scaled rollout on BlueVerse or nay hyperscaler platforms You will be embedded in deals and client journeysshipping real agentic systems not slides

1 Executivefacing discovery value shaping

Partner with Sales Client Partners and BlueVerse leaders to run CXOlevel working sessions that translate business pain into an Outcome Thesis KPI tree baseline uplift hypothesis operating constraints

Identify the right thinslice wedge for a rapid Proof of Value PoV high signal measurable low dependency enterpriserelevant

Communicate tradeoffs clearly what to automate vs assist where humanintheloop is required and what safe scale entails

2 Rapid Proof of Value engineering

Build a rapid PoV that demonstrates business impact technical feasibility trustworthiness

Implement agent workflows with tooluse integration to enterprise systems and lightweight UIexperience for stakeholder clarity

Create initial evaluation harness task success accuracy policy compliance toolcall success latencycost and capture baseline vs PoV lift

3 Agentic blueprint pathtoscale handoff

Produce a scalable Agentic Blueprint agent roles orchestration patterns toolsAPIs dataknowledge strategy guardrails observability and HIL escalation

Define MVP backlog and architecture decisions identityaccess audit logging fallback design policy boundaries and deployment model

Hand off cleanly to delivery teams MVP squads pods with a productionready plan

Required qualifications

8 years of experience in fullstack engineering solution architecture technical consulting with significant clientfacing delivery

Demonstrated ability to build quickly under ambiguity and still maintain sound architecture instincts

Strong experience with modern AI stacks including

oLLMs agent patterns orchestration toolcalling planningexecution loops memory patterns

oRAG knowledge embedding strategies chunking vector databases retrieval evaluation

oEvaluation offline online evals regression suites safety testsredteaming basics

Strong software engineering fundamentals APIs data pipelines integration distributed systems basics

Proficiency in Python one of TypeScriptJavaGo comfortable across frontend backend as needed

Cloudnative experience AWSAzureGCP containers CICD and observability fundamentals

Exceptional communication can translate technical complexity into business impact for senior stakeholders

Preferred qualifications

Proven delivery of GenAIagentic solutions in production not only prototypes

Experience integrating with enterprise platforms ServiceNow Salesforce SAP Microsoft GraphO365 DatabricksSnowflake etc

Experience with security governance for GenAI data boundaries access control auditability model risk compliance evidence

Familiarity with LLMOpsAgentOps concepts versioning telemetry drift monitoring cost governance FinOps

Domain depth in one or more LTM focus verticals TravelTransportationHospitality RetailCPG BFSI Manufacturing Media

Relevant certifications cloud security data are a plus

Core competencies what distinguishes top performers

Executive presence credible with CXOs can run a room and drive decisions

Structured problem framing quickly identifies the highestleverage 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 oneoff wins into reusable playbooks and accelerators

Working model

Travel expected client workshops PoVs exec meetings

Operates in tight pods with Sales Industry leaders BlueVerse productplatform teams and delivery squads

Strong bias toward handson building this role is not purely advisory

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