Senior Solution Architect

jobColumnOne" role="region" aria-labelledby="jobColumnOneRegion" style="width:50%;"> Job Description Senior Solution Architect Hyderabad, Telangana

We are seeking an experienced

who will play a pivotal role in

,

, and

to the development of AI,

and Analytics applications,

, and

. This hands-on leadership position requires extensive technical expertise and experience in managing a diverse, cross-functional team of engineers spanning

App Development,

,

,

,

,

, and

. You will be responsible for shaping new opportunities,

, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in

,

, and

.

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Skill Matrix -

Years of Exp - E

Location -

Project type (Support / Dev / Maintenance / Testing) - Dev Team Handling / Individual Contributor - Both Notice Period -

Python | Yes | 5 ML Model Development | Yes | 5 Kafka,Spark, PostgreSQL | Yes | 5 scikit-learn, PyTorch, pandas, NumPy, XGBoost, Spark, Apache Spark,Apache Airflow,Apache Kafka, RabbitMQ,PostgreSQL, MySQL | Yes | 5  R, Bash, TensorFlow, XGBoost, LightGBM, Mllib,Classical ML, Deep Learning, NLP, Time Series Forecasting, DataBricks | Nice to have | 4

Key Responsibilities: Hands-on Technical Leadership & Oversight: •    Architecting Scalable Systems: Lead the design of  AI, GenAI solutions, machine learning pipelines, and data architectures that ensure performance, scalability, and resilience. •    Hands-on Development: Actively contribute to coding, code reviews, solution design, and hands-on troubleshooting for critical components of GenAI, ML, and data pipelines. •    Cross-Functional Collaboration: Work with Account Teams, Client Partners and Domain SMEs to ensure alignment between technical solutions and business needs. •    Team Leadership: Mentor and guide engineers across various functions including AI, GenAI, Full Stack,  Data Pipelines, DevOps, and Machine Learning, fostering a collaborative and high-performance team environment. Solution Design & Architecture: •    System & API Architecture: Design and implement microservices architectures, RESTful APIs, cloud-based services, and machine learning models that integrate seamlessly into GenAI and data platforms. •    AI, GenAI, Agentic AI Integration: Lead the integration of AI, GenAI, and Agentic applications, NLP models, and large language models(e.g., GPT, BERT) into scalable production systems. •    Data Pipelines: Architect ETL pipelines, data lakes, and data warehouses using industry-leading tools like Apache Spark, Airflow, and Google BigQuery. •    Cloud Infrastructure: Drive the deployment and scaling of solutions using cloud platforms like AWS, Azure, GCP, and other relevant cloud-native technologies. Machine Learning & AI Solutions: •    ML Integration: Lead the design and deployment of machine learning m Apply now <div class="