Artificial Intelligence & Engineering
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients’ achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions help Deloitte client service teams improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Position Summary
Level: Lead Architect
As a Specialist Master(App Architecture) at Deloitte Consulting, you will oversee the technical delivery of enterprise-scale software solutions, lead cross-functional and global teams and mentor junior members. You will collaborate to understand functional requirements, support sales and proposal efforts, and drive end-to-end project delivery, including estimation and planning, to ensure successful outcomes.
Work you’ll do:
Collaborate with the functional team and client to thoroughly understand business requirements. Serve as the Architecture lead, overseeing technical delivery by providing architectural direction and implementation recommendations. Lead documentation efforts, ensuring all deliverables adhere to architectural standards and best practices. Direct the design and development of solutions, ensuring alignment with the overall architecture and timely delivery according to project plans. Work closely with project leadership to identify and escalate potential risks, prepare status reports, and ensure architectural considerations are addressed. Mentor junior team members, facilitate communication between various teams within the engagement, and champion architectural integrity throughout the project. Responding to proposals by providing accurate estimations and technical input, supporting the overall success and alignment of project objectives with client needs.
Technical Proficiencies
Expertise in Python:
- Strong proficiency in Python frameworks, with a focus on Django, Flask, and FastAPI
- Extensive experience in developing scalable, high-performance enterprise applications using Python
Cloud Computing (AWS/Azure/GCP):
- Hands-on experience designing and deploying solutions on one or more hyperscalers:
- AWS: EC2, ECS/EKS, S3, Lambda, API Gateway, RDS, DynamoDB, CloudFormation
- Azure: App Service, Azure Kubernetes Service (AKS), Blob Storage, Azure Functions, API Management, Azure SQL, Cosmos DB, Azure Resource Manager (ARM)
- GCP: Compute Engine, GKE, Cloud Storage, Cloud SQL, Firestore, Deployment Manager/Terraform
- Proficiency in designing and deploying microservices architectures on cloud platforms
Microservices Architecture:
- Strong expertise in building and managing microservices using FastAPI, Flask, or Django. Proficient in developing REST and GraphQL APIs
- Experience with inter-service communication using Eventgrid,gRPC or Kafka
Performance Optimization:
- Proven experience in profiling, monitoring, and optimizing applications for performance using tools like Locust, cProfile, Py-spy, and monitoring solutions like Prometheus/Grafana
- Expertise in Python memory management (e.g., garbage collection, object lifecycle), understanding the Global Interpreter Lock (GIL), and SQL query optimization
DevOps Practices and CI/CD:
- Hands-on experience with DevOps tools and methodologies, including:
- CI/CD tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure Pipelines, AWS CodePipeline, GCP Cloud Build
- Containerization: Docker, Kubernetes (EKS, AKS).
- Infrastructure as Code: Terraform, CloudFormation, Ansible.
- Monitoring tools: Prometheus, Grafana, ELK Stack, Splunk
Database and Data Storage:
- Strong experience with relational databases (e.g., MySQL, PostgreSQL, Oracle, SQL Server).
- Experience with NoSQL and caching technologies and/or hyperscaler-native options
Code Reviews and Best Practices:
- Expertise in conducting thorough code reviews to ensure adherence to SOLID principles, design patterns, and industry-standard best practices
- Proficiency in writing clean, modular, and maintainable code using tools like SonarQube or PMD for static code analysis
API Management and Security:
- Experience in designing and managing APIs using Swagger/OpenAPI, Postman, or API Gateway
- Knowledge of authentication/authorization protocols like OAuth2, JWT, and SAML
System Architecture and Design:
- Experience producing architecture/design artifacts (diagrams, decision logs) using tools such as Visio, Lucidchart, or ArchiMate
- Strong experience in architecting scalable, distributed systems using microservices, event-driven architectures, and domain-driven design (DDD)
Leadership and Communication
- Provide proof of concepts, analysis of alternatives, and brief their results to client stakeholders
- Responsible for cloud native architecture design, implementation of distributed, fault-tolerant enterprise applications for cloud
- Build meaningful relationship with clients
- Publish whitepapers / point of views and act as an evangelist to the Deloitte brand
- Work both independently or in a team-oriented, collaborative environment based on the project requirements
- Contributes significantly towards leading initiatives for development and maintenance of tools, methods, and offerings in the area of specialization
Identifies and builds productivity and efficiency drivers which substantially influence during sales pitch and become key criteria for winning new projects in the specialty area
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The team:
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Must Have Skills/Project Experience/Certifications:
- 8 - 14 years of industry experience, with at least 8+ years in a technical architect role designing applications and hosting solutions on cloud platforms
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At least 10+ years of hands-on experience in cloud native architecture design, implementation of distributed, fault-tolerant enterprise applications for cloud
- Should have knowledge to understand and create the Target State Solutions
- Should be able to create Low level designs for Engineering teams For Ex: Flow charts, Sequence diagrams, class diagrams
- Should have knowledge of reusable components- Middleware ,ORM layers and robust Logging and Monitoring solutions
- Should have Hands-On experience on
- Python API development using frameworks like FastAPI or Django REST Framework, including implementing authentication and authorization (e.g., OAuth2, JWT).
- Dependency and environment management using tools like Poetry or pip/venv.
- Using an ORM like SQLAlchemy or the Django ORM, including database connection pool configuration.
- Event-Driven Implementation: Integrating with Kafka using Python client libraries
- Should define Interfaces and re-usable components to avoid duplicate effort - For Ex: Circuit breaker, Retry, Error Handling
- Experience in application migration and modernization of legacy applications to cloud platforms including hybrid connectivity and phased cutovers
- Familiarity with principles summarized in the major Cloud Adoption Frameworks and Well-Architected/Architecture frameworks (e.g., AWS Cloud Adoption Framework (CAF) + Well-Architected; Azure CAF + Well-Architected Framework; Google Cloud CAF + Architecture Framework)
- Deep expertise in architecting and designing end-to-end cloud solutions, recommending architecture patterns aligned to business needs
- Experience designing approach and leading migrations from on‑premises to cloud, leveraging database migration services and application migration/assessment tooling (e.g., discovery, wave planning, cutover, validation)
- Hands-on experience with Kubernetes, and managed/container platforms (e.g., cloud-managed Kubernetes services and/or OpenShift)
- Working knowledge of cloud-native CI/CD and developer platforms (source control, build, artifact repositories, pipeline orchestration), distributed tracing/observability, and security services
- Strong understanding of microservices architecture, with experience in designing and implementing cloud-based solutions
- Strong understanding of the cloud native development practices and architectural patterns
- Experience in leading and managing teams within specialist areas from project planning to execution
- AI-related awareness: demonstrated AI-first delivery mindset, including familiarity with Generative AI (GenAI) concepts, agentic workflows/automation, and practical considerations (data privacy, security, model risk) when incorporating AI capabilities into enterprise applications
Education:
- B.E./B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
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Bengaluru/Hyderabad/Pune/Chennai
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Benefits to help you thrive
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
