Applied AI Engineer - Software Specialist Engineer II

Role Overview

Key Responsibilities

• Embrace and drive a culture of accountability for customer and business outcomes and for the cost of achieving them.
• Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build.
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
• Lead requirement analysis, component design, development, testing, integrations, and support.
• Maintain accountability for code-design integrity, implementation fidelity to architecture and tech stack, quality, data, and ongoing maintenance and operations.
• Create technical specifications and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded.
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs.
• Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery.
• Possess expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations.
• Quickly acquire domain-specific knowledge relevant to the business or product.
• Translate business/user needs, architectures, and UX/UI designs into technical specifications and code.

The Team

The Successful Candidate Will Possess

• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Required Qualifications

• A bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
• 5+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
• 3+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
• 3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineer
• Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
• Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.

Other

Benefits To Help You Thrive

• Deloitte offers a comprehensive rewards program to help professionals thrive mentally, physically, and financially.
• Eligibility requirements may be based on role, tenure, type of employment, and/or other criteria.