Lead Software Engineer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Lead Technical Architect, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 7/22/20206

Work you'll do/Responsibilities

As a Lead Technical Architect, you will lead the architecture and delivery of strategic healthcare technology initiatives spanning real-time data platforms and enterprise AI/ML solutions. You will guide end-to-end technical design from proof of concept through production, architect scalable cloud-native systems, and partner with cross-functional teams to deliver secure, resilient, and high-impact solutions under tight timelines. This role requires deep cloud architecture experience, strong hands-on technical leadership, and the ability to adapt solutions as business and client requirements evolve.

• Lead architecture and delivery of strategic healthcare data and AI/ML initiatives, including real-time health record access and retrieval capabilities.
• Design scalable, event-driven data pipelines on Google Cloud Platform (GCP) using services such as Pub/Sub, BigQuery, and Cloud SQL.
• Architect and guide enterprise AI/ML solution delivery, including solution design, deployment considerations, and integration into cloud-native platforms.
• Own end-to-end technical design from proof of concept through production, including architecture decisions, integration patterns, and nonfunctional requirements.
• Serve as Tech Lead and Architect across a team of engineers, setting technical direction, design standards, and quality expectations.
• Build and oversee RESTful microservices in Python/FastAPI to expose healthcare data and support downstream application and AI use cases.
• Partner with product, engineering, and client stakeholders to align architecture with business goals, delivery timelines, and rapidly changing requirements.
• Drive cross-functional coordination to manage dependencies, risks, and technical trade-offs while maintaining momentum toward production delivery.

• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The successful candidate would possess these skills:

• 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

The Team

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.

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

• 10+ years of experience designing and delivering enterprise technology solutions, including cloud-native systems, data platforms, or distributed architectures.
• 5+ years of experience architecting and implementing solutions on Google Cloud Platform (GCP), including services such as Pub/Sub, BigQuery, Cloud SQL, or comparable cloud-native technologies.
• 7+ years of experience designing event-driven architectures and scalable real-time data pipelines for high-volume processing.
• 5+ years of experience leading or delivering AI/ML solution architecture, including deployment considerations and integration into enterprise platforms.
• 5+ years of experience building or leading development of RESTful APIs and microservices using Python and frameworks such as FastAPI.
• 7+ years of experience leading technical teams and translating evolving business requirements into production-ready solutions. .
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Limited immigration sponsorship may be available
• Candidates must be at least 18 years of age at the time of employment
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

• Experience working in an Agile development environment.

• Analytical/ Decision Making Responsibilities
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products
• Can operate independently or with minimum supervision
• Excellent Written and Communication Skills
• Ability to deliver technical demonstrations

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.