Solutions Architect Actual Resource

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Job Description

Job Title: Solution Architect Data, AI & Generative AI Experience: 810 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 810 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 810 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,