Solution Architect – Gen AI

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🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• 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 • 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, scalable inference, and low-latency serving • Design Generative AI solution patterns, including retrieval-augmented generation, tool and API integration, prompt and context management, and evaluation approaches • Define reference architectures for AI platforms and enabling capabilities, including data pipelines, feature and embedding generation, vector storage, model endpoints, and enterprise API integration • Define secure integration patterns for agent toolchains using MCP, skills and plugin manifests, JSON Schema function calling, OpenAPI tool specifications, and event-driven or message-based execution • Incorporate security-by-design practices, including identity and access controls, encryption, secrets management, secure networking, and audit logging • Partner with governance and risk stakeholders on responsible AI, privacy, explainability, safety, compliance, and model risk controls • Drive solution alignment and adoption by communicating tradeoffs, risks, and value and obtaining stakeholder alignment and governance approvals • Support testing and validation teams and help triage and resolve design-related issues during development, UAT, or production • Perform other duties as assigned

🎯 Requirements

• 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 • 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 Java, Python, Node.js, or Scala • Experience with SQL and NoSQL data persistence technologies • Experience with 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 • 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 • Familiarity with MCP-based integrations and agent tool standards, including skills and plugin manifests, function calling schemas, and OpenAPI-defined tools • Container and orchestration experience, such as Docker and Kubernetes, and cloud container platforms like ECS or EKS • Experience with vector databases, search technologies, and 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 AI-specific security considerations

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility encouraged and celebrated • Purpose, well-being, and work-life balance support • Welcoming and inclusive work environment • Volunteer opportunities for causes that matter to associates

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