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PanAgora Asset Management · 12 hours ago

Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)

United States

Full-time

Remote

Mid, Senior Level

$125K/yr - $182K/yr

5+ years exp

PanAgora Asset Management is focused on transforming financial lives through a flexible work environment and internal mobility. The Senior Solutions Architect will provide technical leadership, design complex solution architectures, and partner with teams to create scalable, secure cloud-based solutions focusing on emerging technologies like AI and machine learning.

FinanceFinancial Services

No H1B

Responsibilities

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

Qualification

AI solutions designML integrationCloud architectureMicroservices designDevOps practicesData persistence technologiesInfrastructure-as-CodeContainer orchestrationAgile software deliveryCommunication skills

Required

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

Preferred

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

Benefits

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.

Company

PanAgora Asset Management

PanAgora Asset Management is a quantitative investment manager whose proprietary approach is designed to capitalize on inefficiencies across market cycles and to deliver relative and absolute returns through distinct and innovative equity, multi-asset and risk premia strategies.

Founded in 1989

Boston, Massachusetts, USA

51-200 employees