Position: Solution Architect – Data & AI
Location: Ahmedabad, Pune
Experience: 8+ Years
Preferred: Immediate Joiners
Job Overview:
We are seeking a highly skilled and experienced Solution Architect – Data & AI to lead and drive our data-driven transformation. The ideal candidate will be responsible for designing and implementing cutting-edge AI and data solutions that align with business objectives. You will work closely with cross-functional teams to create scalable, high-performance architectures that leverage modern technologies in data engineering, machine learning, and cloud computing.
Key Responsibilities:
- Architect and design end-to-end data and AI solutions that address business challenges and optimize decision-making.
- Define and implement best practices for data architecture, data governance, and AI model deployment.
- Collaborate with data engineers, data scientists, and business stakeholders to deliver scalable and high-impact AI-driven applications.
- Lead the integration of AI models with enterprise applications, ensuring seamless deployment and operational efficiency.
- Evaluate and recommend the latest technologies in data platforms, AI frameworks, and cloud-based analytics solutions.
- Ensure data security, compliance, and ethical AI implementation.
- Guide teams in adopting advanced analytics, AI, and machine learning models for predictive insights and automation.
- Drive innovation by identifying new opportunities for AI and data-driven improvements within the organization.
Required Skills & Qualifications:
- 8+ years of experience in designing and implementing data and AI solutions.
- Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud.
- Hands-on experience with big data technologies (Spark, Databricks, Snowflake, etc.).
- Proficiency in TensorFlow, PyTorch, Scikit-learn, etc.
- Deep understanding of data modeling, ETL processes, and data governance frameworks.
- Experience in MLOps, model deployment, and automation.
- Strong programming skills in Python, SQL, and Java/Scala (preferred).
- Proficiency in Generative AI frameworks
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and leadership skills, with the ability to drive technical conversations.
Preferred Qualifications:
- Certifications in cloud architecture, data engineering, or AI/ML.
- Experience with generative AI.
- Background in developing AI-driven analytics solutions for enterprises.
- Experience with Graph RAG, Building AI Agents, Multi-Agent systems
- Additional certifications in AI/GenAI is preferred.
- Proven leadership skills are expected.