Solution Architect -Open to relocate candidates are acceptable

1.Role Purpose
Enable internal/customer teams to design, integrate, troubleshoot, and ship agent- enabled solutions on the AI/agent enablement platform.
Serve as the primary technical/solution partner to client teams with a focus on integration (identity, networking, service-to-service access) and production readiness.
Translate business goals and use cases into platform-aligned solutions and integration requirements; keep implementations inside the "happy path" and surface gaps to the platform team.
Act as the two-way conduit between client teams and platform product/engineering: capture real demand, shape requirements, and shepherd features to delivery.

2. Core Responsibilities
Solution discovery & shaping: Run discovery with stakeholders to understand the problem, agent pattern, data sources, policies, and integration needs; propose viable architectures on the platform (chat UI or API/service patterns).
Platform expertise & proactive advisory: Stay current on platform capabilities and changes; recommend best-fit integration approaches and alert clients when new features or patterns can reduce friction or improve reliability.
Platform-aligned architecture: Design solution blueprints that use standard platform capabilities (authn/authz, identity/SSO/RBAC, networking/connectivity, RAG/agents/orchestration, observability, cost/security controls); establish "known-good" configs and repeatable patterns.
Implementation guidance: Guide teams through build, test, and promotion-to- prod; review designs, prompts/agents, and integration choices; shepherd solutions from prototype to production via readiness reviews, rollout planning, and operational handoff.
Integration & troubleshooting leadership: Lead cross-team debugging of identity/access, networking/connectivity, environment/config, and service-to- service issues; triage incidents to isolate client code vs. platform behavior vs. dependent systems; drive resolution with engineering/ops and codify runbooks.
Customer advocacy and platform roadmap: Convert concrete client needs into well-formed requirements (problem statement, constraints, acceptance criteria, priority/impact); partner with Technical Product Owners to sequence work, track delivery, and communicate status back to customers.
Stakeholder management: De-escalate priority conflicts by grounding discussions in impact, risk, and alternatives; set expectations on what is/isn't supported and negotiate scope and timelines.
Enablement & evangelism: Create reference implementations, templates, cookbooks, integration guides, and troubleshooting playbooks; run workshops/office hours and share best practices across teams.
Operational Readiness: Work with client teams to get solutions to a production-ready state on the platform and remain the primary point of contact with the platform team for production follow-up on those solutions.

3. Core Skills / Competencies
Technical breadth: Comfortable discussing modern distributed application architectures (APIs, services, identity/authn/authz, networking, observability, reliability), agent/LLM patterns (e.g., RAG, workflows/execution graphs), and integration into existing apps.
Enterprise integration mindset: Integrates solutions with existing enterprise tools and services first (SSO, RBAC, secrets management, gateways, network paths, service accounts) to avoid one-offs and duplicative effort, while staying within security and architecture guidelines.
Troubleshooting & incident leadership: Hypothesis-driven debugging, log/trace-based diagnosis, crisp escalation, and coordinated resolution across engineering/ops; able to turn fixes into reusable patterns and runbooks.
Product thinking: Translates customer requirements and integration constraints into reusable, platform-level features with clear acceptance criteria. Customer-facing communication: Can talk to directors/VPs about outcomes and to engineers/technical leads about schemas, APIs, identity/networking
details, and deployment.
Facilitation & conflict management: Stays calm in tense prioritization/support conversations; partners with Technical Product Owners to manage expectations and align stakeholders.
Documentation & enablement: Produces concise solution guides, reference architectures, integration cookbooks, and onboarding steps for client teams.

4. Qualifications (high level)
10+ years in solution architecture, forward-deployed/embedded engineering, platform engineering, delivery architecture, technical consulting, or SRE/DevOps supporting application teams.
Hands-on experience building or extending shared platforms (AI/ML, data, or integration) and SaaS solutions, working through their constraints to deliver production outcomes.
Proven track record working directly with customer/stakeholder teams to deliver solutions into production.
Experience working closely with product owners to turn customer needs into platform features and roadmap items.
Strong written and verbal communication with senior technical and business audiences; able to produce clear technical artifacts.
Understands core ML concepts, basic stats, and A/B-style evaluation enough to collaborate with data science teams.
Familiarity with challenges of LLM/agent/RAG-style solutions (variability, guardrails, evaluation) and how to drive robust, repeatable solutions.
Comfortable in Python (or similar, e.g., TypeScript/Java) to use platform tooling, call APIs, build sample integrations, and debug issues.
Nice-to-have: Background in AI/LLM/agentic systems or adjacent data/ML platforms; experience with enterprise identity/security patterns (SSO, OAuth/OIDC, RBAC) and network segmentation; history of creating reusable enablement assets and resolving complex escalations with senior stakeholders