SS&C

Financial Services

DirectorofEngineeringAgenticAIplatform

$245–355k ~AI est. Waltham, Massachusetts, United States FULL TIME Remote Friendly
The Brief

“Director of Engineering - Agentic AI platform at SS&C. Skills: Agentic AI frameworks, AI/ML solutions, LLM technologies, Data Engineering. Lead engineering teams. Manage engineering teams”

Industry & Context.

Financial Services
Problems you'll solve

Problem-solving; Root cause analysis

What They're Looking For.

Must Have

5 to 7 years data science/software engineering experience in AI/ML, 12+ years leading/managing teams, Expert Python skills, Hands-on experience with agentic libraries, Strong knowledge of LLMs, Understanding of embeddings, vector similarity search, RAG, Proficiency with vector databases, Proficiency with graph databases, Proficiency with SQL/NoSQL systems, Experience building ETL pipelines, Skilled in containerization, Skilled in orchestration, Skilled in serverless, Skilled in CI/CD, Skilled in infrastructure-as-code, Knowledge of secure coding practices, Knowledge of IAM/RBAC, Knowledge of data encryption, Knowledge of AI governance, Master's degree or PhD or equivalent experience, Proven leadership experience in data analytics/AI, Experience leading technical engagements

Nice to Have

JavaScript/TypeScript familiarity is a plus, Familiarity with cloud ML platforms

What You'll Do.

Lead engineering teams

Manage engineering teams

Drive design of Agentic AI frameworks

Drive implementation of Agentic AI frameworks

Oversee delivery of AI/ML solutions

Oversee delivery of LLM-based solutions

Ensure scalability of solutions

Ensure security of solutions

Ensure maintainability of solutions

Establish software engineering best practices

Establish CI/CD for AI development

Establish testing for AI development

Establish observability for AI development

Establish model lifecycle management

Establish performance monitoring for AI

Partner with Product Management

Ensure timely delivery of AI capabilities

Collaborate with architecture teams

Collaborate with cloud teams

Collaborate with platform teams

Build reusable AI services

Build enterprise-ready frameworks

Ensure execution discipline across teams

Guide teams in building production solutions

Promote responsible AI practices

Promote governance for AI

Promote data privacy for AI

Promote model evaluation for AI

Promote risk controls for AI

Mentor engineering managers

Mentor technical leads

Mentor senior engineers

Drive cross-functional collaboration

Communicate progress to leadership

Communicate risks to leadership

Communicate outcomes to leadership

Identify opportunities to standardize platforms

Identify opportunities to reduce duplication

Identify opportunities to accelerate delivery

How You'll Work.

Team & Collaboration

Cross-functional teams; Product Management; Architecture teams; Cloud teams; Platform teams; Data scientists; AI engineers; ML engineers; Data engineers; Product; UX; Data; Security; Infrastructure

Communication Scope

Progress reporting; Risk reporting; Outcome reporting; Senior leadership communication

Process & Methodology

Agile mindset, Sprint planning, Milestone tracking, Delivery accountability, Roadmap definition

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