EY-Parthenon - Strategy and Execution - Growth Platforms - Software Engineer - Sr Assoc/Consultant

Location New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, Hoboken, Philadelphia, San Francisco, Seattle The Opportunity EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real‑world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI‑powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence. Within EY‑Parthenon, the Growth Platforms team focuses on building durable technology and AI capabilities that power long‑term enterprise growth. The Software Engineering Director for AI Tooling plays a pivotal role in translating strategy into execution—designing and scaling modern software platforms, AI‑enabled tools, and internal products that create measurable value for Fortune 500 and growth‑stage clients alike. This role sits at the intersection of engineering excellence, applied AI, and business impact—partnering closely with executives, product leaders, and multidisciplinary teams to deliver systems that can be adopted, trusted, and scaled. Your Key Responsibilities As a Software Engineering Senior Associate/Consultant, you will assist in the design and delivery of production‑grade software systems and AI‑enabled tooling that underpin high‑visibility client engagements and internal platforms. Architect, build, and scale core software platforms that integrate data, AI services, and user‑facing applications. Assist in the development of AI‑powered tools, including decision support systems, copilots, internal developer tools, and domain‑specific agents. Design and maintain robust service architectures (APIs, event‑driven systems, batch and real‑time pipelines) optimized for reliability, security, and extensibility. Establish engineering best practices across code quality, testing, CI/CD, observability, and performance. Collaborate with AI/ML engineers to productionize models and agents, ensuring seamless integration into real‑world workflows. Skills And Attributes For Success Successful candidates will bring strong engineering judgment, fluency in modern AI tooling, and the ability to operate comfortably across strategy and execution. Assist in the development of backend and full‑stack systems using modern languages and frameworks (e.g., Python, Java, Scala, TypeScript). Design and manage cloud‑native architectures on platforms such as AWS or GCP, using containerization and infrastructure‑as‑code. Build AI‑ready application layers that integrate LLMs, retrieval systems, vector databases, and model orchestration frameworks. Develop internal tooling and developer platforms that improve velocity, reliability, and reuse across teams. Define and enforce standards for security, privacy, reliability, and compliance (e.g., SOC2, HIPAA, enterprise governance). Translate ambiguous business problems into concrete system designs and incremental delivery plans. Communicate complex technical concepts clearly to non‑technical stakeholders. Qualifications Outstanding academic performance, with a bachelor’s degree and at least 2 years of related work experience; or a graduate degree and approximately 18 months of related work experience. Strong proficiency in modern software development practices, including APIs, distributed systems, and cloud services. Hands‑on experience deploying AI‑enabled applications or tooling into production environments. Comfort operating in fast‑paced, client‑facing environments with evolving requirements. You must either reside in or be in a commutable distance to your office location for this position. Willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs. Preferred Experience Experience working in management consulting, product‑led organizations, or high‑growth startups. Familiarity with modern AI ecosystems, including LLM frameworks, agent architectures, and prompt/tool orchestration. A strong product mindset—understanding not just how to build systems, but how they will be adopted and sustained. Knowledge of how to leverage firm‑approved AI tools in a business setting, including Microsoft Copilot. What We Look For We are looking for candidates who have a strong aptitude for quantitative and qualitative analysis and the ability to link business strategy to performance. Being a strong team player is critical with the ability to adapt to changing requirements or deadlines in support of our clients’ goals. Benefits Comprehensive compensation and benefits package where you’ll be rewarded based on performance. Base salary range for this role in the US is $130,000 to $185,000. Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Hybrid working model: most client‑serving roles work together in person 40–60% of the time over the course of an engagement, project or year. Flexible vacation policy: choose how much vacation time you need based on personal circumstances, plus time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence. Ready to Shape Your Future? Apply today. EY accepts applications for this position on an ongoing basis. For those living in California, click here for additional information. Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. We are committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and need assistance applying online or require an accommodation, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io. #J-18808-Ljbffr EY-Parthenon