We are seeking a Senior AI Engineer to define and drive the end-to-end engineering of an enterprise-grade agentic orchestration capability that enables smart AI agents to autonomously execute workflows, collaborate with humans, and operate securely with governed access. This role owns the technical direction and delivery of core capabilities spanning agent workflow development environments, automated CI/CD and safe migration patterns, human–agent collaboration and long-running orchestration, and agent identity/registry/marketplace with policy enforcement. You will serve as the technical authority—establishing standards for reliability, auditability, security, and performance; driving cross-team execution; and ensuring adoption at scale through enablement and strong operational practices.
Responsibilities| 1) Technical Direction, Architecture Standards & Roadmap Ownership (30%)
2) Secure-by-Design Identity, Policy Enforcement & Auditability (25%)
3) Deterministic Human–Agent Collaboration & Long-Running Orchestration (20%)
4) Automated Delivery, CI/CD Gates & Safe Migration Patterns (15%)
5) Operational Excellence, Reliability & Enablement (10%)
Decision-Making Autonomy: High — accountable for architecture standards, cross-team technical tradeoffs, governance posture, and operational readiness decisions.Supervision Required: Low — operates with periodic alignment to senior leadership and governance forums.Complexity of Role: Very high — enterprise-grade orchestration with strict security/audit requirements, multi-tenant isolation, deterministic workflow needs, and latency SLOs across multiple integrated systems.Cross-Functional Interactions: Yes — leadership-level engagement across security/identity, DevX, SRE, enterprise applications, and business/product stakeholders. |
Key Skills/Experience Required Minimum Qualifications:
Minimum Qualifications
- Bachelor’s in CS/AI/ML/Data Science or equivalent experience required.
- Master’s preferred
- 10 year experience in ML, Data Science, AI required.
- Extensive experience designing and operating enterprise platforms/services with production reliability and governance requirements.
Required Expertise
- Systems/platform architecture: multi-tenant isolation, scalability, versioning, backward compatibility, release sequencing
- Orchestration and workflow systems: Temporal-class systems (or equivalent) including long-running workflows, compensation, state persistence
- Identity and security architecture: SSO (SAML/OIDC), non-human identity, RBAC/ABAC, consent propagation, secrets/keys rotation, least-privilege design
- Governance and compliance engineering: audit logging models, approval workflows, policy routing, PII redaction, retention/purge controls
- Observability/SRE partnership: SLO definition, OTel-based telemetry, incident management, reliability engineering
- Developer enablement: SDK design, reference implementations, platform adoption strategy, mentoring and technical leadership
Differentiating Competencies
- Strategic thinking: shapes direction and standards; anticipates second-order impacts of platform decisions
- Proactiveness & initiative: identifies systemic risks early (security, reliability, adoption) and drives resolution
- Discretion: handles sensitive security/identity, compliance, and access-control topics appropriately
- Financial acumen: frames tradeoffs across build vs buy, provider choices, operational cost and risk
- Executive communication: crisp narratives for governance forums; evidence-based recommendations and decisions
- Organizational leadership: aligns multiple teams, mentors senior engineers, drives adoption and accountability
