AI Solutions Architect – Lead

Nair Systems,

Nair Systems

Skill Sets :

Key Responsibilities:

Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions.

Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.

Translate business requirements into scalable and secure AI system architectures.

Oversee the development and deployment of AI/ML models in production environments.

Guide data scientists, engineers, and developers in adopting AI best practices and technologies.

Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.

Design AI solutions integrated with enterprise platforms (ERP, CRM, data lakes, APIs).

Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance.

Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics.

Mentor and lead technical teams; influence architectural decisions across business units.

Required Technical Skills:

AI/ML Expertise:

Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.

Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs.

Architecture & System Design:

Proven experience in designing scalable and secure cloud-native AI solutions.

Deep understanding of microservices, APIs, event-driven architectures, and real-time inference systems.

MLOps & DevOps:

Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.

Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

Data & Integration:

Familiarity with data engineering tools (Spark, Kafka), data lakehouses (Delta Lake, Snowflake), and ETL pipelines.

Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.

Leadership & Soft Skills:

Strong leadership experience managing multidisciplinary AI/ML teams.

Ability to drive architecture governance, code quality, and technical standards.

Excellent communication and presentation skills to influence technical and non-technical stakeholders.

Strategic thinker with a passion for AI innovation and enterprise transformation.

Preferred Experience:

10+ years of experience in software or data architecture roles, with 45 years focused on AI/ML.

Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail.

Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).

Preferred Certifications:

AWS Certified Machine Learning Specialty

Microsoft Azure AI Engineer Associate

Google Professional Machine Learning Engineer

TOGAF or other architecture frameworks (optional but valuable)

Responsible AI or ethical AI certifications (optional).

10+ Years.

Joining time frame:

Should yoube interested in this opportunity, please send your latest resume at [HIDDEN TEXT]