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Senior AI Architect

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • United States
    Remote

AI generated summary

  • You should have 7+ years in AI/data science, coding in Python/R, managing PoCs, LLMs, ETL, ML deployment in cloud, and strong leadership skills. Experience with RPA/BPM is a plus.
  • You will manage PoCs, evaluate AI use cases, design solutions, develop models, optimize performance, lead projects, and ensure data governance while collaborating with teams across the organization.

Requirements

  • 7+ years of experience in Data Sciences, AI, machine learning, or a related field.
  • Proven expertise in managing PoCs, from conception through evaluation and execution, with hands-on technical involvement.
  • Experience in coding and model development, with strong proficiency in Python, R, or similar programming languages.
  • Experience in managing intake and evaluation of AI use cases, with a focus on impact-driven prioritization.
  • Strong background in LLMs, data engineering, ETL, machine learning algorithms, neural networks, and NLP.
  • Experience in deploying Analytics and AI/ML models in production environments, using cloud platforms (AWS, Azure, or Google Cloud).
  • Familiarity with RPA and BPM platforms is a plus.
  • Excellent communication and leadership skills, with the ability to collaborate across teams.

Responsibilities

  • Proof of Concept (PoC) Management: Lead the development and execution of PoCs to validate AI technologies and assess their feasibility and value in real-world applications. Collaborate with stakeholders to define success criteria, ensure proper testing, and provide clear recommendations on whether to move forward with full-scale implementation.
  • Manage Use Case Intake: Oversee the intake and evaluation of potential AI use cases from business and operational teams. Assess these opportunities' viability, complexity, and expected impact, prioritizing them based on business needs and technical feasibility. Work with cross-functional teams to move selected use cases into the development pipeline.
  • Solution Architecture & Execution: Design and implement AI-driven solutions that enhance automation and operational efficiency. Ensure that all solutions are scalable, secure, and aligned with industry best practices.
  • Coding and Model Development: Actively participate in the coding, model development, and technical execution of AI solutions, particularly during the PoC phase. This includes writing code to develop machine learning models, building data pipelines, and integrating AI solutions into existing technology stacks.
  • Technical Execution of PoCs: In addition to managing PoCs, take a hands-on approach to their technical execution. This includes building and testing prototypes, refining models, and ensuring that they meet business requirements and technical standards.
  • Coordinate and Align with AI Enterprise and GIDS Technology Teams: Act as a bridge between the Automation and Efficiency team and the broader AI Enterprise and GIDS Technology teams. Ensure that AI initiatives are aligned with overall enterprise AI strategy and technology frameworks. Collaborate closely with these teams to leverage existing infrastructure, share best practices, and ensure seamless integration of AI solutions across the organization.
  • Performance Optimization: Continuously monitor and improve the performance of AI models, focusing on accuracy, efficiency, and scalability. Implement feedback loops for model refinement and optimization.
  • Innovation & Technology Evaluation: Stay current with the latest trends in AI and machine learning technologies. Evaluate new tools, platforms, and methodologies to improve automation and operational processes within financial services.
  • Collaboration & Leadership: Act as an AI expert and technical leader, guiding the development team through the design and implementation phases. Mentor junior engineers and collaborate with business stakeholders to ensure that AI solutions align with business objectives.
  • Project Management: Support or lead AI project delivery, managing resources, timelines, and stakeholder expectations to ensure smooth execution. Ensure thorough testing, deployment, and production processes for maximum operational impact.
  • Data Governance & Security: Maintain strict adherence to data privacy, governance, and security standards in all AI implementations, particularly when handling sensitive financial and customer data.

FAQs

Do we support remote work?

Yes, we support remote work in a hybrid format.

What is the primary focus of the Senior AI Architect role?

The primary focus of the Senior AI Architect role is to plan, evaluate, and execute AI-driven automation initiatives, including managing Proof of Concepts (PoCs) and deploying AI models and solutions.

What experience is required for this position?

The position requires 7+ years of experience in Data Sciences, AI, machine learning, or a related field.

What programming languages should candidates be proficient in?

Candidates should have strong proficiency in Python, R, or similar programming languages.

What kind of projects will the Senior AI Architect manage?

The Senior AI Architect will manage projects related to developing and executing Proof of Concepts (PoCs), designing AI-driven solutions, and overseeing the intake and evaluation of AI use cases.

Are there opportunities for career growth in this role?

Yes, there are opportunities for professional development and career progression in AI and automation.

What types of industries does SS&C Technologies serve?

SS&C Technologies serves financial services and healthcare industries.

What benefits does SS&C offer to employees?

SS&C offers excellent benefits including health, dental, 401k, and tuition/professional development reimbursement.

Is experience with cloud platforms necessary for this role?

Yes, experience in deploying Analytics and AI/ML models in production environments using cloud platforms like AWS, Azure, or Google Cloud is required.

What is the salary range for the Senior AI Architect position?

The salary range for the position is $150,000 to $175,000, depending on various factors including relevant work experience and geographic location.

Technology
Industry
10,001+
Employees

Mission & Purpose

SS&C is a leading global provider of mission-critical, cloud-based software and solutions for the financial and healthcare industries. Named to the Fortune 1000 list as a top U.S. company based on revenue, SS&C (NASDAQ: SSNC) is a trusted provider to more than 20,000 financial services and healthcare companies, with over 25,000 employees and operations in more than 40 countries. Built upon a foundation of expertise, innovation and excellent customer service, SS&C powers some of the largest financial and healthcare firms in the world.