XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights.
Agentic Systems for AI Agents
: akira.ai
Vision AI Platform
: xenonstack.ai
Inference AI Infrastructure for Agentic Systems
: nexastack.ai
THE OPPORTUNITY
-------------------
We are looking for a
Forward Deployed Solutions Engineer - Agentic Systems
to partner closely with enterprise customers, understanding their business goals and designing tailored AI agent solutions that drive measurable outcomes.
This role blends
technical architecture, solution design, and on-the-ground enablement
, ensuring successful deployment, adoption, and integration of XenonStack's Agentic AI platforms into complex enterprise environments.
If you enjoy working directly with customers, solving high-impact problems, and shaping AI-powered transformation strategies, this role is for you.
RESPONSIBILITIES
--------------------
Discovery & Solution Design
Engage with client stakeholders to understand business workflows, challenges, and success metrics.
Design end-to-end AI agent solutions leveraging our
Agentic Systems
platforms.
Technical Implementation Leadership
Oversee integration of multi-agent orchestration, RAG pipelines, and context management into client environments.
Guide client engineering teams through deployment best practices.
Configuration & Customization
Develop tailored prompt templates, context flows, and tool integrations aligned with enterprise requirements.
Enablement & Training
Deliver workshops and hands-on sessions to upskill client teams in
AgentOps
,
observability
, and AI governance practices.
Performance & ROI Tracking
Establish metrics dashboards to track adoption, performance, cost efficiency, and business impact.
Customer Advocacy
Act as the voice of the customer to internal engineering and product teams, highlighting feature requests, workflow gaps, and optimization opportunities.
Risk & Compliance Alignment
Ensure deployed solutions meet enterprise security, compliance, and regulatory standards.
SKILLS & QUALIFICATIONS
----------------------------
Must-Have:
4-6 years in solutions engineering, enterprise software delivery, or AI/ML consulting.
Strong technical understanding of LLM architectures, prompt engineering, and context pipelines.
Experience integrating
agentic AI frameworks
(LangChain, LangGraph, AgentBridge) into enterprise systems.
Familiarity with RAG, vector databases, and API/tool integration patterns.
Excellent client-facing communication and solution storytelling skills.
Ability to translate complex technical concepts into business-relevant outcomes.
Good-to-Have:
Exposure to BFSI, GRC, SOC, or FinOps domains.
Familiarity with AI observability stacks and evaluation tools (Prometheus, OpenTelemetry, TruLens, Ragas).
Experience with compliance-driven deployments (GDPR, PCI-DSS, HIPAA).
Background in AI strategy consulting or transformation programs.
CAREER GROWTH & BENEFITS
-----------------------------
Continuous Learning & Growth
Certification sponsorships in AI solution architecture, multi-agent orchestration, and Responsible AI.
Hands-on exposure to
enterprise AI transformations
at scale.
Recognition & Rewards
Incentives for measurable customer impact and solution innovation.
Fast-track opportunities into
AI Solutions Architecture Leadership
roles.
Work Benefits & Well-Being
Comprehensive medical insurance and project-based allowances.
Cab facilities for women employees and special project perks.