Solution Architect

Associate Manager - Solution Architect

Solution Design and Architecture

• Develop comprehensive automation solutions leveraging Gen.AI and LLMs.
• Create scalable and robust architectures for self-service applications.
• Ensure alignment of solutions with business goals and technical requirements.
• Conduct feasibility studies and risk assessments for proposed solutions.
• Develop detailed technical documentation and architectural blueprints.
• Evaluate and select appropriate technologies and tools for solution development.

Technical Leadership

• Lead technical discussions and provide guidance to development teams.
• Stay updated with the latest advancements in AI, machine learning, and automation technologies.
• Mentor and train team members on best practices and new technologies.
• Collaborate with cross-functional teams to ensure seamless integration of solutions.
• Establish and enforce coding standards and development practices.
• Drive innovation and continuous improvement within the team.

Implementation and Deployment

• Oversee the implementation of automation solutions from concept to deployment.
• Ensure high-quality code and adherence to best practices.
• Monitor and optimize the performance of deployed solutions.
• Troubleshoot and resolve technical issues as they arise.
• Manage deployment pipelines and ensure smooth rollouts of new features.

Stakeholder Management

• Engage with stakeholders to understand their requirements and expectations.
• Communicate technical concepts and solutions effectively to non-technical stakeholders.
• Provide regular updates on project progress and milestones.
• Gather feedback and iterate on solutions to meet evolving business needs.
• Facilitate workshops and training sessions for stakeholders.

• Bachelor's Degree in a computer science, engineering, information technology or a relevant degree from a recognized University.

Experiences:

• Minimum of 8 – 10 years of experience in designing and implementing automation solutions.
• Demonstrated ability to design and implement complex automation solutions.
• Proficiency in Python or Java for developing automation solutions.
• Strong understanding of frameworks such as TensorFlow, PyTorch, and their application in building AI models.
• Knowledge of ML techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / Engineering, Anomaly Deduction, Natural Language Processing (including Sentiment Analysis, Topic Modelling), Natural Language Generation.
• Experience with cloud platforms (e.g., Azure, Google Cloud) for deploying and managing AI and automation solutions.
• Knowledge of database management systems for data storage, retrieval, and management.
• Familiarity with tools like Docker, Kubernetes, Jenkins, and CI/CD pipelines for automating deployment and ensuring continuous integration.
• Proficiency in tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Tableau for analysing and presenting data.
• Experience with NLP techniques and libraries (e.g., spaCy, NLTK) for processing and understanding human language.
• Skills in designing and implementing RESTful APIs for integrating various components of the automation solution.
• Exposure to frameworks from LangChain.
• Experience in developing and integrating APIs and microservices.
• Experience with automation frameworks and tools.