Empower logo
Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)
full-timeGillingham$125k - $181k

Summary

Location

Gillingham

Salary

$125k - $181k

Type

full-time

Explore Jobs

About this role

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

 

The Senior Solutions Architect provides technical leadership and designs complex solution architectures that support business strategy and streamline technology-enabled workflows. This role partners closely with business owners, product, data, and engineering teams to document current-state systems and design scalable, resilient, and secure cloud-based solutions. This position focuses on emerging technologies, including AI, Generative AI, and machine learning, and guides solutions from research and analysis through architecture, delivery support, and operational readiness.

What you will do:

  • Lead discovery with business and technology partners to understand objectives, constraints, current-state systems, and integration points.
  • Document current-state architecture and define target-state designs including system context diagrams, component designs, integration patterns, and data flows.
  • Design and modernize applications into cloud-compatible or cloud-native architectures using microservices, serverless, and event-driven patterns where appropriate.
  • Create strategies, roadmaps, and migration designs for transitioning applications and data workloads to cloud platforms.
  • Design AI and ML-enabled solutions, including model integration into products and business processes, and patterns for scalable inference and low-latency serving where needed.
  • Design Generative AI solution patterns, such as retrieval-augmented generation, tool and API integration, prompt and context management, and evaluation approaches.
  • Define reference architectures for AI platforms and enabling capabilities, such as data pipelines, feature and embedding generation, vector storage, model endpoints, and integration with enterprise APIs.
  • Establish best practices for MLOps and AI operations, including model versioning, deployment, monitoring, drift detection, incident response, and cost management.
  • Incorporate security-by-design practices into architectures, including identity and access controls, encryption, secrets management, secure networking, and audit logging.
  • Partner with governance and risk stakeholders to ensure responsible AI considerations are incorporated, including privacy, explainability, safety, compliance, and model risk controls as applicable.
  • Drive alignment and adoption of proposed solutions by clearly communicating tradeoffs, risks, and value and obtaining stakeholder alignment and governance approvals. Selling means internal alignment and decision support, not external pre-sales.
  • Support teams responsible for testing and validation and help triage and resolve design-related issues found during development, UAT, or production.
  • Perform other duties as assigned

What you will bring:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent practical experience.
  • 5+ years of experience in agile software delivery environments with increasing architecture and design responsibility.
  • Demonstrated experience designing distributed systems using microservices and or serverless patterns.
  • Experience designing and integrating AI and ML capabilities into applications, including model serving considerations and data dependencies.
  • Experience with one or more languages such as Java, Python, Node.js, or Scala.
  • Experience with data persistence technologies across SQL and NoSQL.
  • Experience with at least one major cloud provider, AWS, Azure, or Google Cloud, and core cloud design patterns.
  • Working knowledge of CI/CD pipelines and DevOps practices, including automated testing and deployment automation.
  • Strong communication skills and ability to translate business needs into clear technical direction.

What will set you apart:

  • Hands-on experience with GenAI and LLM solutions, including retrieval-augmented generation, embeddings, evaluation, and production monitoring.
  • Experience with AI and ML platforms or services, such as AWS SageMaker, Amazon Bedrock, Azure AI, Azure OpenAI, or Google Vertex AI.
  • Infrastructure-as-Code experience, such as Terraform or CloudFormation.
  • Container and orchestration experience, such as Docker and Kubernetes, and cloud container platforms like ECS or EKS.
  • Experience with vector databases and search technologies and associated indexing and retrieval patterns.
  • Experience with enterprise observability, including centralized logging, tracing, metrics, alerting, and operational readiness.
  • Database and procedural development experience, including PL/SQL, and strong data modeling concepts.
  • Familiarity with responsible AI practices, governance controls, and security considerations specific to AI systems.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job.  The employer has the right to revise this job description at any time.   You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description.   You may be required perform other duties that are not included on this job description.  The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

  • Medical, dental, vision and life insurance
  • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment that includes the option to wear jeans
  • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
  • Paid volunteer time — 16 hours per calendar year
  • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
  • Business Resource Groups (BRGs) –  BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Base Salary Range

$125,400.00 - $181,875.00

The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Equal opportunity employer  Drug-free workplace

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. 

For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.

Job Posting End Date at 12:01 am on:

01-31-2026

Want the latest money news and views shaping how we live, work and play? Sign up for Empower’s free newsletter and check out The Currency.

Other facts

Tech stack
Solutions Architecture,AI,Machine Learning,Cloud Computing,Microservices,Serverless,Data Integration,DevOps,CI/CD,Java,Python,Node.js,SQL,NoSQL,MLOps,Security,Governance

About Empower

At Empower, we’ve always been guided by strong values with a focus on helping people achieve the financial freedom they deserve.

It’s been an incredible journey so far, but our story is just getting started.

From the very beginning, we’ve prided ourselves on putting our customers first in everything we do — which will never change. The genesis of Empower dates back to 1891, when our parent company was founded as an insurance firm on the Canadian prairie. After more than a century of expansion and a profound evolution of service offerings, the modern iteration of Empower was launched in 2014. Our past is a big part of who we are as a business, but we continue to invest heavily in our current principles and future endeavors.

Today, as the second-largest recordkeeper¹ in the U.S. and a comprehensive wealth management leader, we proudly serve more than 19 million individuals and over 88,000 different organizations.²

With a constant commitment to growth, innovation and technology, we are fully dedicated to transforming the lives of all Americans. Our personalized tools and solutions are aimed at helping everyone improve their financial confidence so they can pursue their passions and reach their unique goals.

That’s our promise.

------------------------
Disclosures: https://www.empower.com/social-media/

¹Pension & Investments DC Recordkeeper Survey (2024). Ranking measured by total number of participants as of December 2023.

²As of March 31, 2025.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Financial Services
Founding Year: 2014

What you'll do

  • The Senior Solutions Architect leads the design of complex solution architectures that align with business strategies and streamline technology workflows. This role involves collaborating with various teams to document current systems and design scalable cloud-based solutions.

Ready to join Empower?

Take the next step in your career journey

Frequently Asked Questions

What does Empower pay for a Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)?

Empower offers a competitive compensation package for the Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML) role. The salary range is USD 125k - 182k per year. Apply through Clera to learn more about the full compensation details.

What does a Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML) do at Empower?

As a Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML) at Empower, you will: the Senior Solutions Architect leads the design of complex solution architectures that align with business strategies and streamline technology workflows. This role involves collaborating with various teams to document current systems and design scalable cloud-based solutions..

Why join Empower as a Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)?

Empower is a leading Financial Services company. The Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML) role offers competitive compensation.

Is the Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML) position at Empower remote?

The Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML) position at Empower is based in Gillingham, England, United Kingdom. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML) position at Empower?

You can apply for the Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML) position at Empower directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Empower on their website.