Software Engineer III- AI & Engineering/Software as a Service

Benefits

This onsite role in Cincinnati, OH is supported by Deloitte's Core Talent Model benefits package, designed to support your health, career growth, and financial well-being. You will contribute to enterprise software built for cloud-native environments, with a collaborative culture that values mentorship and cross-team partnership.

As a hands-on technical leader, you will mentor engineers, drive scalable full‑stack and agentic AI initiatives, and partner with Product, Design, DevOps, and QA to deliver high-quality software.

Responsibilities

• Architect, design, and implement scalable, reliable, and maintainable full‑stack software systems and services.
• Design and operationalize RESTful and asynchronous APIs on cloud‑native infrastructure (AWS, Azure, or GCP), including containerized workloads, CI/CD pipelines, and infrastructure‑as‑code.
• Lead end‑to‑end delivery of complex features from requirements gathering through deployment and monitoring.
• Architect and deliver production‑grade agentic AI and multi‑agent applications using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; apply patterns like orchestrator‑agent hierarchies, RAG pipelines, tool‑calling agents, and context/memory management.
• Conduct thorough code reviews, enforce coding standards, and champion engineering best practices.
• Mentor and guide junior and mid‑level engineers, fostering a culture of continuous learning and improvement.
• Collaborate with cross‑functional teams including Product, Design, DevOps, and QA to deliver high‑quality software.
• Identify technical debt and proactively drive refactoring and improvement initiatives.
• Participate in system design discussions, architecture reviews, and technical planning sessions.
• Troubleshoot and resolve complex performance, scalability, and reliability issues in production systems.
• Contribute to hiring through technical interviews and assessments.

Requirements

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
• 7+ years of software engineering experience with demonstrated backend and cloud development expertise
• Must have experience in Store and Associate Technology (SAT)
• Strong experience in Java and Spring based application development
• Experience with microservices, APIs, messaging, and event‑driven architectures
• Working knowledge of AWS and/or GCP cloud services
• Experience with Docker, Kubernetes, Terraform, and CI/CD tooling
• Experience with SQL and NoSQL data stores
• Strong communication, collaboration, and problem‑solving skills; demonstrated ability to work independently in a player‑coach or technical lead capacity
• Proven track record managing or technically leading delivery teams, including communication cadences and quality assurance across time zones
• Experience delivering software across multiple SDLC methodologies (Agile, SAFe, Kanban, waterfall‑agile hybrid)
• Bachelor's degree in Computer Science, Engineering, or a related discipline or equivalent professional experience
• Ability to travel up to 50% based on work and client needs
• Limited immigration sponsorship may be available
• Experience with event‑driven architectures and messaging systems (Kafka, RabbitMQ, SQS)
• Contributions to open‑source projects or a demonstrated personal portfolio
• Experience with observability, security, and code quality tools
• Experience with machine learning pipelines or data engineering workflows
• Demonstrated experience designing and delivering solutions that incorporate Large Language Models (LLMs) and agentic AI architectures
• Knowledge of security best practices, including OWASP guidelines and secure coding standards
• Prior experience in a tech lead or staff engineer capacity
• Industry‑recognized technology certifications

Technologies

• Java
• Spring
• Docker
• Kubernetes
• Terraform
• AWS
• Azure
• GCP
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Semantic Kernel
• Kafka
• RabbitMQ
• SQS
• RESTful APIs
• Asynchronous APIs
• CI/CD tooling
• SQL
• NoSQL

Compensation

Wage range: USD 122,000 to 240,500 per year. Discretionary annual incentive program may be available.