Senior Solution Architect

We are seeking an experiencedSenior Solution Director who will play a pivotal role inarchitectingleading andactively contributingto the development ofAI GenAIand Analytics applicationsmachine learning models andcloud-native infrastructure. This hands-on leadership position requires extensive technical expertise and experience in managing a diverse cross-functional team of engineers spanningGenAIApp DevelopmentData ScienceMachine LearningFull StackDevOpsCloud Infrastructure andAPI development.

You will be responsible forshaping new opportunities architecting complex systems making critical decisions and leading teams to deliver high-quality scalable solutions while remaining directly involved incodingtechnical design andproblem-solving.

Skill Matrix - Gen AI/AIML (E5 Band)

Years of Exp - E5: TEX:14yrs; REX: 10yrs

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

KafkaSpark PostgreSQL Yes 5

scikit-learn PyTorch pandas NumPy XGBoost Spark Apache SparkApache AirflowApache Kafka RabbitMQPostgreSQL MySQL Yes 5

R Bash TensorFlow XGBoost LightGBM MllibClassical 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