Job Description

Job Title: Solution Architect - Data, AI & Generative AI

Experience: 8-10 Years

Location: Pune- Bundgarden

Job Type: [Full-time/Contract]

Industry: Technology / Digital Transformation / AI & Data Solutions

About the Role

We are seeking a highly experienced Solution Architect with 8-10 years of deep technical expertise

in designing and implementing complex technology solutions. The ideal candidate will have a strong

foundation in data, artificial intelligence (AI), and generative AI, with a proven ability to translate

business needs into scalable, future-ready architectural designs. This is a strategic leadership role

that requires both technical depth and cross-functional collaboration skills.

Key Responsibilities

Design and deliver end-to-end solution architectures leveraging cutting-edge technologies in
data, AI, and generative AI

Translate complex business requirements into technical blueprints and scalable architecture
models

Develop robust, high-performance frameworks and ensure alignment with enterprise
technology standards

Lead and mentor engineering teams through the solution lifecycle, from design and
prototyping to deployment

Conduct architectural assessments, technology evaluations, and risk analysis to support
strategic decision-making

Drive rapid prototyping and proof-of-concept development to validate architectural
concepts and business hypotheses

Collaborate with business stakeholders, product managers, development teams, and Clevel leadership to ensure technical alignment and delivery excellence Ensure compliance with security, performance, and regulatory standards Stay abreast of emerging technologies and trends, especially in LLMs, GenAI, and machine
learning

Required Qualifications

8-10 years of experience in solution architecture, with a focus on data-driven and AI-centric
systems

Strong hands-on experience designing solutions with large language models and generative
AI technologies

Proven success in implementing enterprise-grade architectures across various business
domains

Solid full-stack development background, with hands-on coding experience Expertise in at least one major cloud platform (AWS, Azure, or GCP) Proficiency in programming languages such as Python, Java, or Scala Experience with data engineering tools and big data frameworks (e.g., Spark, Hadoop) Advanced understanding of machine learning frameworks such as TensorFlow, PyTorch
Technical Skills

Cloud Architecture: AWS, Azure, GCP Containerization & Orchestration: Docker, Kubernetes Big Data Technologies: Spark, Hadoop Machine Learning & GenAI: TensorFlow, PyTorch, OpenAI, Hugging Face, etc. Data Pipeline & Workflow Design API Development & Microservices Architecture
Soft Skills

Excellent communication and presentation skills, with the ability to engage both technical
and non-technical audiences

Strong leadership, mentorship, and stakeholder management abilities Strategic thinker with excellent problem-solving and analytical skills Fast learner with an innovative, adaptive mindset for emerging technologies Proficient in conceptualizing solutions rapidly and turning them into actionable plans
Job Type: Contractual / Temporary
Contract length: 6 months

Pay: ?1,100,000.00 - ?1,150,000.00 per month

Application Question(s):

How many years of experience do you have designing enterprise-grade solution architectures? Can you briefly describe a project where you led the end-to-end solution design for a data or AI-driven platform? Are you comfortable working in a full-stack development environment? If yes, which tech stacks have you worked with? Which cloud platforms have you worked with (AWS, Azure, GCP)? Rate your expertise on a scale of 1 to 5 for each. Have you architected and deployed any production solutions in a cloud environment? Please share a brief example. Have you worked with large language models (e.g., OpenAI, Hugging Face)? If yes, what tools or frameworks have you used? Have you implemented or contributed to any projects involving Generative AI or LLMs? Please describe one briefly.
Work Location: In person

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