ukg
Principal Architect
Presidio
Chennai, IND
Full-time
Senior
Onsite
Discovered 3 weeks ago
AWSAzureGCPKubernetesPythonJava
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Job Responsibilities
- Design and lead end-to-end architecture for large-scale digital transformation programs, combining deep technical expertise with a strong builder mindset. Actively shape, prototype, and deliver modern, cloud-native, and AI-driven solutions that create measurable business impact for clients. Operate at the intersection of consulting, engineering, and innovation within Presidio’s Digital Practice, translating complex business challenges into scalable, future-ready platforms.
- Act as a trusted advisor to C-level stakeholders, influencing technology strategy, shaping roadmaps, and driving adoption of AI, data, and emerging technologies. Lead the design of architectures across cloud, data, integration, and application layers, ensuring alignment with enterprise goals around scalability, resilience, security, and cost efficiency, while promoting a product and platform mindset.
- Stay hands-on by building reference implementations, accelerators, and proof-of-concepts across GenAI, intelligent automation, and next-generation digital platforms. Drive adoption of AI/ML and GenAI capabilities, including LLMs and RAG-based architectures, to unlock new business value. Champion modern engineering practices such as DevSecOps, CI/CD, platform engineering, and SRE to enable high-velocity delivery.
- Collaborate across multidisciplinary teams, including engineers, data scientists, designers, and product leaders, to deliver integrated digital solutions. Play a key role in pre-sales and solutioning by crafting compelling, differentiated proposals. Contribute to thought leadership through reusable frameworks, industry insights, and client engagements, while mentoring teams and elevating the broader architecture and engineering community.
Required Skills
- Deep expertise in enterprise and solution architecture, with a strong foundation in distributed systems, microservices, APIs, and event-driven architectures. Proven experience with at least one major cloud platform (AWS, Azure, or GCP), including cloud-native design, containers, Kubernetes, and serverless paradigms.
- Strong hands-on experience with AI/ML and GenAI solutions, including LLMs, prompt engineering, and retrieval-augmented generation, along with solid knowledge of modern data platforms and data engineering practices. Demonstrated builder mindset with the ability to write high-quality code (Python, Java, or similar), develop POCs, and solve complex technical challenges.
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