AI Solution Architect

Role: AI Solution Architect

Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Google Cloud~Digital : Azure Machine Learning (ML) Experience Required: 10 & Above

Role Descriptions:

Must Have Technical/Functional Skills

• Strong expertise in AI/ML concepts including supervised, unsupervised, deep learning, NLP, and generative AI.
• Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn.
• Proficiency in programming languages like Python, R, or Java.
• Experience in designing end-to-end AI solutions including model development, validation, deployment, and monitoring.
• Knowledge of cloud platforms (Azure, AWS, GCP) with AI/ML services (e.g., Azure AI, SageMaker, Vertex AI).
• Experience with MLOps practices, CI/CD pipelines, model versioning, and lifecycle management.
• Strong understanding of data engineering concepts (ETL pipelines, big data technologies like Spark, Hadoop).
• Familiarity with APIs, microservices architecture, and integration of AI models into enterprise systems.
• Knowledge of data governance, security, and compliance in AI solutions.
• Experience with BI and visualization tools (Power BI, Tableau) for AI insights.
• Exposure to domain-specific AI applications (publishing, retail, finance, etc.) is a plus.
• Experience in agentic development design and platform knowledge

Roles & Responsibilities

• Define and design AI-driven solution architectures aligned with business objectives.
• Collaborate with stakeholders to translate business requirements into AI use cases and technical solutions.
• Lead end-to-end AI solution development, from data ingestion to model deployment.
• Design scalable and robust AI/ML pipelines and architectures.
• Provide technical leadership and guidance to data scientists, engineers, and developers.
• Evaluate and recommend appropriate tools, platforms, and frameworks for AI implementation.
• Ensure best practices in MLOps, including model monitoring, retraining, and performance optimization.
• Identify and mitigate risks associated with AI models, including bias, drift, and scalability issues.
• Work closely with cross-functional teams to ensure seamless integration with enterprise applications.
• Drive innovation and continuous improvement by staying updated with latest AI trends and technologies.
• Support pre-sales, solutioning, and proposal development where required.
• Generic Managerial Skills, If any
• Strong stakeholder management and communication skills.
• Ability to lead cross-functional teams and drive collaboration.
• Excellent problem-solving and decision-making abilities.
• Experience in project planning, estimation, and delivery management.
• Strong analytical thinking and strategic mindset.
• Ability to mentor and coach team members.
• Effective risk management and escalation handling

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.