Description

Job Description

1.        Primary Responsibilities
As a Solutions Architect, you will be responsible for the following activities:
Architect and implement AI, ML, and Gen AI solutions to address critical industrial challenges. This includes designing data pipelines, developing machine learning models, and deploying scalable solutions
Collaborate with cross-functional teams, including data engineers, data scientists, software developers, and domain experts, to ensure seamless integration and deployment of AI solutions
Continuously research and integrate the latest advancements in AI, ML, and GenAI technologies into our solutions. Experiment with new algorithms, frameworks, and tools to enhance solution performance
Research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support actives
Transforms business requirements into technical architecture requirements, and designs application architectures which are scalable, robust, and manageable, while balancing the price/performance Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members
Evaluates the impact of relevant emerging technology and business trends
Lead and coordinate the domain technical and business discussions relative to future architecture direction across the product portfolio or product line.
Articulates the architectural vision for Enterprise solution suites
Enforces proper integration and link of different applications within the Enterprise.
Evaluates alternative architectural approaches.
Knowledge of Multi-Tier Architecture, CI/CD, DevOps, Agile Methodologies
Ability to interact with Business stakeholders and solve business problems spanning across functions
Strong business analysis, problem solving, and strategy development skills
To provide broad technical software support, training, pilots and consulting services for clients and to carry out the implementation of company software

2.        Required Qualifications & Experience
Bachelors or Masters Degree in Computer Science, Software Engineering or equivalent
Should have architected and designed AI / Gen AI / Web based software applications 
8-10 years of experience with designing Software Architecture and overall software development experience of 15+ years.
Proficiency in Python, R, Java /C++.
Expertise in TensorFlow, PyTorch, Keras, Scikit-learn, and other relevant frameworks
Strong knowledge of data preprocessing, feature engineering, and data pipeline development using tools like Apache Airflow, Apache NiFi, and ETL processes
Deep understanding of supervised, unsupervised, and reinforcement learning algorithms. Experience with model evaluation, hyperparameter tuning, and model optimization
Proficiency in AWS, Azure, and Google Cloud for deploying scalable AI solutions. Experience with cloud-native services like AWS SageMaker, Azure ML, and Google AI Platform
Proficiency in SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and Cassandra
Exposure to Nodered, Cumanda and Openshift
Exposure to industrial automation domain, particularly OPC-UA/DA and Modbus TCP
Expertise in architectural tools like Enterprise Architect
Exposure to building IIOT application with REST services
Expertise in database design and interfacing to related applications
Hands on experience on with several of the following technologies:
NodeJS application development
SSL mutual authentication
Containerization with Docker (Kubernetes)
Cloud Native application development using micro services architecture (Azure Cloud services)
Open ID and OAuth
Designing orchestration solutions for scalable micro services
Message Queue system like RabbitMQ
Stream Analytics tool like Kafka
Have good knowledge and exposure to DevOps processes (CID/CD)

Key Skills

Education

Any Graduate