Solution Architecture (AI Solutions)

Key Skills

Aartificial intelligence, Agile methodologies, Analytical and Problem solving, AWS, Azure, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Generative AI

Job Description

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

This role is hybrid (3 days in the office with Mondays & Fridays working remote)

The Solution Architect role will report into our DevOps Center for Enablement (C4E) working on emerging technologies that deliver a high degree of business value (AI based solutions, advanced automation, advanced data processing, management). As part of a diverse technical team, you will gain deep knowledge of our various business domains to understand the problems/opportunities, overall experience considerations, and business outcomes to develop innovative solutions aligning to enterprise standards, patterns and best practices while redefining boundaries to advance our leadership position.

Main responsibilities include:

• Leads the design of the end-to-end solution architecture including the creation of current, transitional, and future state views aligning to enterprise standards, and patterns, new solution choices/decisions.
• Define and manage reference architectures as required.
• Takes calculated solution risks to create innovative solutions that drive exceptional experiences and operational capabilities in an accelerated manner.
• Works with delivery teams to resolve technical impediments and other delivery challenges balancing speed to market and incurring of technical debt.
• Runs pilots with nascent, emerging, and proven technologies to create new solutions, services, reusable assets and integrates the best of these into steady-state operations for the organization
• Collaborates with delivery teams to ensure consistency with the enterprise architecture (Enterprise Assurance), as well as to leverage shared technologies, tools and processes that impact speed to value.
• Ability to work collaboratively with platform architects and engineers to drive efficient and cost-effective solutions that are scalable.
• Ability to continually adapt and improve in solution design and implementation, and ways of working.
• Provides leadership and direction in meeting and exceeding Technology goals.
• Builds strong relationships across Technology Enablement teams (security, cloud, data) and business teams.
• Effectively communicates across various audiences to ensure solution alignment; appropriate level of debate and challenge to drive best fit.
• Continually research and be abreast with emerging technologies and Gen AI models, Incorporate strategic elements in future designs

Required Qualifications:

• Master’s or bachelor’s degree in computer science, computer engineering, system analysis or a related field of study, or combined job experience and certifications in lieu of college degrees is also acceptable
• Eight or more years of technical design and implementation or experience as an enterprise architecture consultant or in a software engineering or development role
• Experience with Agile development methodologies, DevOps and CI/CD
• Good knowledge of Infrastructure as code e.g. Terraform
• Experience in Cloud computing, preferably with Azure or AWS
• In-dept understanding of architectural patterns, principles, and frameworks
• Strong technical background in key technology stacks; application platforms, infrastructure, database storage and streaming, APIs and Microservices
• Knowledgeable in GenAI models, prompt engineering
• Hands-on technical implementation experience
• Exceptional analytical skills and the ability to see the connections between layers of business operations

Desired Qualifications:

• Experience in end-to-end AI solutions such as vector databases, data preprocessing and ingestion along with AI development and deployment platforms
• Experience implementing enterprise platforms such as content management, low code platforms, app builders
• Knowledgeable in security protocols
• Preferred financial industry experience

Salary range: $132,500-$197,500 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No