Senior Solution Architect

About the role

Hyderabad, Telangana Job Summary

We are seeking an experienced Senior Solution Director, who will play a pivotal role in architecting , leading , and actively contributing to the development of AI, GenAI and Analytics applications, machine learning models , and cloud\-native infrastructure . This hands\-on leadership position requires extensive technical expertise and experience in managing a diverse, cross\-functional team of engineers spanning GenAI App Development, Data Science , Machine Learning , Full Stack , DevOps , Cloud Infrastructure , and API development .

You will be responsible for shaping new opportunities, architecting complex systems , making critical decisions, and leading teams to deliver high\-quality, scalable solutions while remaining directly involved in coding , technical design , and problem\-solving .

Key Responsibilities null Skill Requirements

Skill Matrix \- Gen AI/AIML (E5 Band)

**Years of Exp \- E 5:** TEX: 14\+yrs; REX: 10\+yrs

Location \- Noida, Bangalore, Hyd, Chennai.

Project type (Support / Dev / Maintenance / Testing) \- Dev

Team Handling / Individual Contributor \- Both

Notice Period \- P1:0\-30days; P2: 30\-45days: P3: 45\-90days

Skill \| Mandatory \| Proficiency Level (1\-5\)

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

Other Requirements

**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

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