Location: New York City, Chicago, Charlotte, Hoboken, Philadelphia, Columbus, Atlanta, Boston
The opportunityAs a Solution Engineering Manager, you will lead a multidisciplinary squad to take solutions from discovery and design through production and continuous improvement across full-stack development, APIs and microservices, cloud-native platforms, and generative and agentic AI, with an AI-first mindset and security and responsible AI at the core. While our primary focus is Financial Services, you will have opportunities to support healthcare, automotive, high-tech, and media.
Your key responsibilitiesLead a squad of 5-8 engineers building mission-critical financial platforms and AI-enabled client solutions, acting as trusted technical advisor to Product, Business Unit, and Risk/Compliance partners. Own squad execution from requirements and estimation through release, operational handover, and continuous improvement, escalating cross-domain decisions to architecture and delivery leaders.
People & Team LeadershipManage, mentor, and grow 5-8 engineers through 1:1s, performance reviews, and career planning; build AI fluency, support hiring, and foster an inclusive, accountable culture across onshore and global members.
High-Level Design & System Solution ArchitectureOwn your pod's architecture: service boundaries, fault tolerance (circuit breakers, sagas), and Java/Python integration contracts, with explicit NFRs and documented trade-offs aligned with enterprise architecture standards.
Consultative Stakeholder Advisory- Advise Product and Business Operations on feasibility, buy-vs-build, and technical debt.
- Provide early input on regulatory impacts (SOC2, PCI-DSS) as applicable, working with Risk, Compliance, and Security specialists rather than independently determining compliance.
- Lead discovery workshops and demos, communicating progress, risks, and trade-offs in business terms.
Operationalizing SDD & AI-Enabled Engineering PracticesInstitutionalize SDD governance and agentic code generation with quality and security guardrails, human review, and data/IP protection, measuring cycle time, quality, and reliability rather than code volume.
AI-Enabled Solution DeliveryIntegrate generative and agentic AI where there is a clear use case, partnering with Data & AI specialists and owning testing, access controls, monitoring, human oversight, latency, and cost.
Cross-Pod Alignment & DeliveryPartner with peer EMs, QA, and Platform teams to de-risk multi-service releases. Lead the squad in delivering new and existing applications, stay hands-on in design and code reviews, manage backlog, capacity, and dependencies, and ensure release readiness, observability, and support handover.
Reusable Solutions & Client Pursuit SupportBuild documented, tested accelerators with Innovation; support proposals, RFPs, demos, prototypes, estimates.
Skills and attributes for success- Ability to prioritize and lead a squad in a fast-paced environment, with travel as required.
- Excellent written and oral communication, explaining technical trade-offs to non-technical stakeholders; writing, publishing, and conference-level presentation skills a plus.
- Ability to turn ambiguous business needs into actionable designs and delivery plans.
- Hands-on engineering judgment to coach engineers through complex design and production issues.
- Practical, responsible AI judgment balancing speed and value with quality, security, and privacy.
- Ability to collaborate across product, architecture, cloud, data, quality, and security teams.
To qualify for the role you must have- Bachelor's degree in computer science or other related field.
- 8+ years of software engineering experience, including 2+ years leading an engineering team or squad.
Technical breadth- Advanced knowledge of modern Java (preferably Spring) and practical Python for services, automation, or AI integration; proven design of distributed systems using Kafka event-driven architecture and RESTful APIs.
- Hands-on cloud-native microservices experience (IaaS, PaaS, containers) and end-to-end business-critical integration.
- Git, CI/CD, automated quality and security checks, and Agile/TDD with automated testing.
- Generative and agentic AI integration, evaluation, and production monitoring.
Methodology leadershipProven success applying Spec-Driven Development and operationalizing AI developer tools at squad level with human review and data protection.
Advisory & leadership competencies- Stakeholder Negotiation: Balancing velocity, technical debt, and compliance.
- Architectural Advisory: Presenting ADRs to Architecture Review Boards (ARB).
- Consultative Problem-Solving: Leading discovery workshops to define technical roadmaps.
Ideally, you'll also have- Kafka/RabbitMQ, Elasticsearch, Angular/React/TypeScript, Spark, NoSQL (MongoDB/Cassandra), or comparable tools.
- Guiding full-stack delivery and willingness to deepen expertise across frontend, backend, cloud, and AI integration.
- Delivering AI-enabled features or agentic workflows with evaluation and human oversight.
- Financial Services or other regulated environments (security, auditability, operational resilience).
- Contributing reusable accelerators, demos, or solution proposals.
What we look forWe seek self-motivated people developers who thrive in a high-demand, performance-driven environment and put the team first, combining technical curiosity and an AI-first mindset with practical delivery discipline. If you're passionate about solving our clients' most complex issues, this role is for you.
What we offer youAt EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $166,900 to $278,100
- Bay Area California offices - $173,800 to $289,700
- All other offices locations in the US, including Sacramento - $139,100 to $254,900
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today. - To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an on-going basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.
