Software Guidance & Assistance, Inc., (SGA), is searching for an Applied AI Engineer for a CONTRACT assignment with one of our premier Financial Services clients in New York, NY.
The firm's Fixed Income Credit Complex team is building an enterprise-grade GenAI workflow platform to power document intelligence, embedded productivity assistants, and automated business workflows across Institutional Securities. This is a production engineering role, not a research or prototype track. We are seeking senior, hands-on engineers who have designed, built, and operated GenAI systems in production environments. This role contributes to a shared platform used across business lines, with a clear path to owning core GenAI capabilities and standards within Institutional Securities.
Responsibilities :
- Design and evolve reusable GenAI workflow primitives and services used across Institutional Securities workflows.
- Develop AI-powered assistants embedded into core Institutional Securities applications, leveraging agentic and tool-driven workflows.
- Define and guide GenAI architecture decisions, including model selection, orchestration patterns, and evaluation strategies.
- Establish and evolve LLMOps practices, including evaluation harnesses, prompt/version management, monitoring, and regression testing.
- Design and implement controls for entitlements, data security, and PII handling, including usage of open-source models in regulated environments.
- Partner with business and platform teams to drive adoption of shared GenAI capabilities across systems and workflows.
Required Skills :
- 2+ years of hands-on experience building and operating GenAI systems in production
- 7+ years of full-stack or platform engineering experience, with strong proficiency in Python.
- Proven experience designing and operating LLM-based systems using patterns such as RAG, tool/function calling, agentic workflows, and structured outputs.
- Strong expertise in LLMOps, including evaluation frameworks, prompt/version management, regression testing, observability, and production reliability.
- Experience building AI-first document ingestion and extraction pipelines with measurable quality and accuracy.
- Experience with coding agents (Claude code, Codex, AMP, CoPilot)
- Advanced experience in retrieval systems, including multi-stage pipelines, vector search, re-ranking, metadata filtering, and evaluation metrics (e.g., recall/precision tradeoffs, MRR, NDCG).
- Practical experience debugging and stabilizing systems through real-world failure scenarios, including model regressions, prompt drift, retrieval degradation, and data quality issues.
Preferred Skills :
- Experience in Fixed Income, Credit, or broader Institutional Securities workflows.
- Familiarity with enterprise data governance, security models, and entitlements frameworks.
- Experience designing reusable internal platforms or shared developer tooling.
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SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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