Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 1/22/2026

Work you'll do

As a Consultant you will leverage your deep subject matter knowledge to bring solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
Working within an engagement team, your responsibilities include, among others:

• Delivering components of client engagements focused on identifying, designing, and implementing technology business solutions for large companies
• Leading small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
• Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
• Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
• Maintaining communication with key project stakeholders and decision makers

Additional Responsibilities:

• Design, prototype, and implement robotic systems that integrate AI-driven perception, planning, and control
• Develop and optimize algorithms for motion planning, machine vision, sensor fusion, and reinforcement/ imitation learning
• Implement Physical AI principles, ensuring AI models function reliably when interfacing with mechanical hardware in real-world conditions
• Collaborate with hardware engineers on actuator design, sensor integration, and embedded AI processors (e.g., PIM or neuromorphic chips)
• Conduct system-level testing, simulation, and validation for operational safety, robustness, and performance
• Integrate cloud and edge AI platforms with robotics systems for real-time decision-making
• Document designs, experiments, and results while contributing to knowledge-sharing across engineering teams

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

• 3+ years of experience delivering AI/ML solutions
• 2+ years of hands-on experience with AI/ML frameworks (ie: TensorFlow, PyTorch) and deploying models onto hardware
• 2+ years of hands-on experience building AI/ML solutions using Python
• 2+ years hands-on experience in robotics engineering, including:
• Control systems, kinematics, dynamics, mechatronics, and hardware-software co-design
• Development with ROS, path planning, SLAM, reinforcement learning, and simulation tools
• Practical integration of sensors, actuators, and microcontrollers
• 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes
• Bachelor's or Master's in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related fields
• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Preferred:

• Familiarity with neuromorphic computing, AI edge chips, or Physical AI architectures
• Experience in human-robot interaction, collaborative robotics (cobots), or autonomous systems
• Experience publishing or developing innovative robotics/AI solutions
• Advanced degree in Robotics, Physical AI, or AI Engineering
• Prior consulting experience in client-facing delivery roles
• Experience in creating critical collaterals for client workshops and customer interactive sessions
• Experience presenting to both large and small audiences
• Demonstrated experience with the sales cycle by helping frame client opportunities. Participated in the pursuit team by creating proposal content for client discussions

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html