Senior AI Engineer - GenAI/ML, Aladdin Engineering - Vice President

Responsibilities

• check_circle Design and develop production AI services that embed GenAI and ML into enterprise workflows.
• check_circle Build AI agents that can plan and execute multi-step tasks by calling approved tools/APIs, retrieving context, validating outputs, and safely handling failure cases.
• check_circle Implement retrieval-augmented generation (RAG) systems using vector search and hybrid retrieval to ground responses in enterprise data and documentation.
• check_circle Develop ML components where appropriate (e.g., classification, ranking, anomaly detection) and integrate them with LLM-based systems for hybrid intelligence.
• check_circle Establish robust evaluation and quality gates for agents and LLM systems (golden datasets, automated tests, regression suites, monitoring for drift/quality).
• check_circle Implement enterprise-grade governance: audit trails, provenance/citations, access control, privacy handling, and versioning (models/prompts/chains).
• check_circle Champion best practices for code quality, testing, automation, and performance/cost optimization.
• check_circle Mentor engineers to elevate technical craftsmanship, problem-solving, and design thinking.
• check_circle Collaborate cross-functionally to ensure technical solutions align with product goals and business outcomes.
• check_circle B.S./M.S. in Computer Science, Engineering, or related discipline.
• check_circle 8+ years of professional software engineering experience building and operating distributed systems in production.
• check_circle 3+ years delivering ML/AI systems to production with measurable outcomes and operational ownership.
• check_circle Demonstrable experience designing and building AI agents (agentic workflows) that: perform multi-step reasoning and task execution, use tools/functions/APIs, manage state appropriately, and include guardrails, validation, and safe fallback behavior.
• check_circle perform multi-step reasoning and task execution,
• check_circle use tools/functions/APIs,
• check_circle manage state appropriately,
• check_circle and include guardrails, validation, and safe fallback behavior.
• check_circle Strong knowledge of agentic design patterns, such as planning/execution loops, routing/specialist agents, retrieval + tool orchestration, verification/reflection, and human-in-the-loop approvals.
• check_circle Hands-on experience with LLM orchestration frameworks (e.g., LangChain or similar), including building reusable chains/agents and enforcing structured outputs.
• check_circle Hands-on experience with vector databases / retrieval systems (e.g., Pinecone, Weaviate, Milvus, pgvector, Elastic vector search, etc.) including indexing, chunking strategies, and hybrid search.
• check_circle Strong Python for AI/ML development and automation; strong backend experience in Java and/or TypeScript (APIs, services, integration patterns).
• check_circle Solid applied ML and evaluation fundamentals: dataset construction, precision/recall tradeoffs, calibration, and drift/quality monitoring.
• check_circle Enterprise mindset for security and controls: data minimization, auditability, traceability, access control, and operational resilience.
• check_circle Strong focus on clean architecture, maintainability, and production readiness.
• check_circle Excellent communication and leadership skills — able to guide teams and influence design direction.

Preferred qualifications

• Experience with Kubernetes, Docker, and cloud-native environments (AWS/GCP).
• Observability experience: OpenTelemetry, Prometheus/Grafana, and AI/LLM telemetry (quality metrics, latency, cost, tool-call traces).
• MLOps maturity: model registry, reproducibility, CI/CD for ML, feature stores, and governance workflows.
• Responsible AI experience: red-teaming, prompt injection defenses, content safety filters, privacy-preserving patterns.
• Familiarity with enterprise workflow/case management patterns and building AI into operational processes.
• Interest in financial systems, accounting, or investment technology.

About the company