SS&C Technologies
Financial Services
SrAIArchitect
Neural analysis suggests this role is
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“Sr AI Architect at SS&C Technologies. Skills: AI Architecture, Production AI, LLM Integration. Lead AI solution delivery. Build and deploy AI solutions”
What You'll Achieve.
Deliver measurable operational impact; Achieve speed to production; Achieve value realization; Improve performance metrics
Industry & Context.
What They're Looking For.
Must Have
7+ years of experience in Data Science, AI, Machine Learning, Proven track record of delivering AI/ML solutions into production at scale, Coding skills in Python, Experience building production-grade systems, Experience with AI-assisted development tools, Background in LLMs, NLP, machine learning, data engineering, Background in API-based architectures, Experience deploying AI solutions in production using cloud platforms
Nice to Have
Experience with AI agents or orchestration frameworks, Familiarity with RPAPM platforms, Preference for API/data-driven approaches
What You'll Do.
Lead AI solution delivery
Build and deploy AI solutions
Productionize AI solutions
Deliver measurable business outcomes
Partner with business teams
Refine AI opportunities
Execute AI opportunities
Design enterprise-grade AI solutions
Implement enterprise-grade AI solutions
Align with SS&C architecture standards
Align with AI Gateway frameworks
Contribute to Python development
Develop data pipelines
Leverage AI-assisted development tools
Accelerate development cycles
Drive adoption of AI tools
Transition solutions to production
Deploy robust production systems
Build LLM-based solutions
Build intelligent automation workflows
Integrate with enterprise systems
Collaborate with AI Enterprise teams
Collaborate with GIDS Technology teams
Align with AI governance standards
Align with AI infrastructure standards
Align with AI security standards
Improve cost efficiency
Improve measurable business impact
Stay current with LLMs
Stay current with agentic frameworks
Stay current with AI engineering tools
Drive engineering excellence culture
Drive delivery accountability culture
Focus on execution discipline
Focus on production readiness
Ensure data privacy adherence
Ensure data governance adherence
How You'll Work.
Team & Collaboration
Business and operations teams; AI Enterprise teams; GIDS Technology teams
Process & Methodology
Execution discipline, Production readiness
Full Job Description
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. **_Job Description_** ## About the Job: We are seeking an India-based AI Senior Architect to join our Automation and Efficiency team within the US Global Investor and Distribution Services (GIDS) Division at SS&C Technologies. This critical role focuses on the design, build, and delivery of Artificial Intelligence (AI)-driven automation initiatives, with a core emphasis on scaling production-grade AI solutions that drive measurable operational impact (savings, efficiency, and revenue enablement/delivery). You will be responsible for both high-level architecture and deep hands-on engineering, including coding, model development, and leveraging modern AI-assisted development tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery. ## Responsibilities: * AI Solution Delivery & Execution: Lead the end-to-end build and deployment of AI solutions from concept through production, with a focus on productionizing solutions and delivering measurable business outcomes. * Solution Prioritization & Execution Alignment: Partner with business and operations teams to refine and execute high-impact AI opportunities, focusing on speed to production, scalability, and value realization. * Solution Architecture & Scalable Design: Design and implement enterprise-grade AI solutions aligned with SS&C architecture standards and AI Gateway frameworks. * Hands-on Coding & AI Engineering: Contribute to Python-based development, data pipelines, and AI/ML/LLM integrations, with a bias toward API-first and data-driven architectures. * AI-Assisted Development & Code Acceleration: Leverage tools such as Claude Code and GitHub Copilot to acceler
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