
Forward Deployed Engineer, Agentic AI
Posted Oct 9

Posted Oct 9
This is a fully remote position, open to applicants in North America.
β’ Collaborate with Sales, Client Partners, and leadership to facilitate CXO-level working sessions, transforming business challenges into an Outcome Thesis.
β’ Identify narrow opportunities for quick, measurable Proofs of Value.
β’ Articulate the trade-offs between automation, assistance, human-in-the-loop, and safe-scale implementations.
β’ Develop swift Proofs of Value that showcase business impact and technical viability.
β’ Implement agent workflows incorporating tool usage, integrations with enterprise systems, and streamlined user experiences.
β’ Design evaluation harnesses that assess task success, accuracy, policy compliance, tool-call success, latency, and cost.
β’ Produce scalable Agentic Blueprints that outline agent roles, orchestration, tools/APIs, data and knowledge strategies, guardrails, observability, and human-in-the-loop escalation.
β’ Define MVP backlogs and architectural decisions related to identity/access, auditing, logging, fallback design, policy boundaries, and deployment models.
β’ Transfer production-ready plans to delivery teams.
β’ Architect solutions utilizing agentic AI foundations, knowledge fabric/RAG patterns, agent orchestration, governance, and observability.
β’ Deploy solutions across AWS, Azure, GCP, and/or client environments while integrating with enterprise applications such as ServiceNow, Salesforce, SAP, and the Microsoft stack.
β’ Ensure compliance with enterprise security, privacy, and regulatory requirements.
β’ Act as a technical closer during competitive engagements through demonstrations, workshops, architecture deep dives, and technical validation.
β’ Develop reusable accelerators, including prompt packs, workflow templates, connectors, evaluation suites, and reference architectures.
β’ Contribute to thought leadership and the creation of field playbooks.
β’ Collaborate in tight-knit teams with Sales, industry leaders, BlueVerse product/platform teams, and delivery squads.
β’ Maintain a strong hands-on building focus rather than serving solely in an advisory capacity.
β’ Over 8 years of experience in full-stack engineering, solution architecture, or technical consulting, with substantial client-facing delivery.
β’ Proven capability to build swiftly amid ambiguity while upholding sound architectural principles.
β’ Extensive experience with modern AI stacks, including LLMs/agent patterns: orchestration, tool-calling, planning/execution loops, and memory patterns.
β’ Familiarity with RAG and knowledge systems: embedding strategies, chunking, vector databases, and retrieval evaluation.
β’ Experience with evaluation processes: both offline and online evaluations, regression suites, safety tests, and fundamental red-teaming.
β’ Strong foundation in software engineering principles: APIs, data pipelines, integration, and basics of distributed systems.
β’ Proficiency in Python and one of the following: TypeScript, Java, or Go.
β’ Comfortable with both frontend and backend development as required.
β’ Experience in cloud-native environments with AWS, Azure, or GCP; familiarity with containers, CI/CD, and observability fundamentals.
β’ Outstanding communication skills, capable of translating technical intricacies into business impacts for senior stakeholders.
β’ Demonstrated delivery of GenAI/agentic solutions in production is preferred.
β’ Experience with integrations involving ServiceNow, Salesforce, SAP, Microsoft Graph/O365, Databricks, or Snowflake is preferred.
β’ Familiarity with GenAI security and governance, including data boundaries, access control, auditability, model risk, and compliance documentation, is preferred.
β’ Knowledge of LLMOps/AgentOps concepts is preferred, covering versioning, telemetry, drift monitoring, and cost governance/FinOps.
β’ Domain expertise in one or more focus verticals is preferred: Travel/Transportation/Hospitality, Retail/CPG, BFSI, Manufacturing, or Media.
β’ Relevant cloud, security, or data certifications are advantageous.
β’ Willingness to travel for client workshops, proofs of value, and executive meetings.
β’ Comprehensive Medical Plan that includes Medical, Dental, and Vision coverage.
β’ Short Term and Long-Term Disability Insurance.
β’ 401(k) Plan with company matching contributions.
β’ Life Insurance coverage.
β’ Paid Vacation, Sick Leave, and Holidays.
β’ Paid Maternity and Paternity Leave.
Invisible Technologies
Invisible Technologies
Invisible Technologies
Invisible Technologies
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