Solutions Architect

Bank of America

Town of Charlotte (NY)

On-site

CAD 194,000 - 290,000

Full time

14 days+

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Job summary

Bank of America is seeking a Solutions Architect to lead the design and delivery of scalable, enterprise-grade data and AI solutions. You will collaborate with the StArI team to shape target architectures using Spark, Hadoop, cloud-native services, and GenAI capabilities.

You will partner with business and engineering to craft architecture runway, ensure security-by-design, and deliver high-performance data pipelines while mentoring teams and driving architectural consistency across initiatives.

Qualifications

Minimum 5 years’ experience in Big Data & ETL: Spark/Hadoop, SQL, Airflow/ADF/Glue.
Cloud: AWS/Azure architecture, serverless & containerized services, IaC.
AI/GenAI: LLM integration, RAG pipelines, model optimization, MLOps.
Architecture: PoV creation, PoC execution, security by design.
Data Products: semantic layers, metadata governance.
Platform Engineering: reusable components, observability, cost optimization.
Collaboration: cross-functional leadership and stakeholder demos.

Responsibilities

Consults with business and operations to identify challenges and align with architectural vision.
Plans and prioritizes architecture backlog with product management.
Performs design and code reviews to meet non-functional requirements.
Leads rapid shaping of high-level architecture with evolving requirements.
Educates team on technology practices and best practices.
Clarifies architecture and assists with system design for development teams.
Uses templates to create architectural designs and improves templates.
Defines solution vision aligned to Analytics and Operations.
Creates robust data pipelines using Spark/Hadoop, ETL tools, and cloud services.
Designs and implements AI/GenAI solutions with LLMs and RAG pipelines.

Skills

Analytical Thinking

Architecture

Solution Design

Technical Strategy Development

Application Development

Collaboration

Data Management

DevOps Practices

Risk Management

Agile Practices

Automation

Influence

Solution Delivery Process

Test Engineering

Education

Bachelor's or higher in Computer Science or related field

Tools

Python

SQL

PySpark

MLflow

LangChain/LlamaIndex

Databricks

Kafka

Terraform

Job description

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description

This job is responsible for defining an architectural vision and solution aligned to the enterprise architecture strategy, technology, and platform choices. Key responsibilities include describing the solution intent/associated operating environment, evaluating system impacts, determining the primary systems/sub-systems and their interfaces, and assisting with end-to-end solution design. Job expectations include defining non-functional requirements/architectural runway to support new epics/features and ensuring solutions are fit for purpose by working with stakeholders and service providers.

Position Summary

The Strategy, Architecture and Innovation (StArI) team is shaping the future technology landscape at Bank of America! We partner with business and engineering teams to define target-state architectures, enable AI-powered capabilities, modernize enterprise data platforms, and ensure investments align to strategic outcomes. Our mission is to transform ideas into scalable solutions that accelerate innovation, improve client experiences, and create reusable enterprise value.

StArI is in search of a talented Solutions Architect who will lead the design and delivery of scalable, enterprise-grade solutions that leverage big data frameworks, cloud-native services, and advanced AI/GenAI capabilities.

Responsibilities

Consults with the business and operations to identify and understand challenges and opportunities to improve the use and effectiveness of technology, find creative solutions through knowledge of the domain, practical experiments, and Proof of Concepts, and aligns the solution intent and architectural vision to an evolving backlog of technology change
Works with product management and other stakeholders to plan and prioritize technology focused backlog items for the architecture runway to enable business epics/features
Performs design and code reviews to ensure all non-functional requirements for a solution are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)
Leads rapid shaping of a high level architecture with details filled in with emerging business requirements and ensures architecture is flexible, modular, and designed to adapt easily
Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
Clarifies the architecture and assists with system design for the development teams to support implementation and provides solution options to resolve any architectural impediments
Utilizes the defined best practices, templates, and documentation to create architectural designs and suggests improvements to best practices and templates
Defines solution vision aligned to Analytics and Operations Line of Business
Creates robust data pipelines using technologies such as Spark and Hadoop, integrate ETL tools, and utilize AWS/Azure services to support high-performance data processing and analytics
Designs and implement AI and GenAI solutions with hands‑on experience in integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and optimizing model performance

Required Qualifications

Minimum 5 years’ experience in Big Data & ETL : Spark/Hadoop, SQL, Airflow/ADF/Glue; batch + streaming at scale
Cloud: AWS/Azure architecture, serverless & containerized services, IaC (Terraform/Bicep), CI/CD
AI/GenAI: LLM integration, RAG pipelines, vector DBs, model optimization, MLOps/LLMOps
Architecture: PoV creation, PoC execution, trade‑off analyses, reference architectures, security by design
Data Products: Semantic layers, graph tech, metadata-driven architectures, lineage & governance
Platform Engineering: Reusable components, observability, performance, cost optimization.
Collaboration: Cross‑functional leadership, stakeholder demos, clear documentation and communication
Languages/Tools: Python, SQL, PySpark, MLflow, LangChain/LlamaIndex, Databricks, Kafka, Terraform

Desired Qualifications

Data modeling (dimensional, data vault, ontology design for knowledge graphs)
Data mesh operating model; product-oriented data contracts
Advanced retrieval (hybrid search, Rerankers, multi-vector, structured + unstructured fusion)
Experience with offline/online feature stores
Edge/real-time AI and low‑latency inference patterns
Generative app patterns: agents, tools/functions, multi‑turn orchestration
Exposure to industry-specific regulations and patterns (e.g., BFSI, healthcare, retail)

Skills