AI/ML Architect

Must Have Technical/Functional Skills
significant depth in AI/ML architecture and solution design on customer-facing programs
• Strong hands-on understanding of ML development frameworks and ecosystems
(e.g., Python + standard ML/DL libraries like scikit-learn, TensorFlow, PyTorch, HuggingFace)
• Proven architecture experience for cloud-native AI/ML solutions (AWS/Azure/GCP) and production deployments
• Strong MLOps experience: model lifecycle, governance, monitoring, and production controls.
• Deep GenAI/LLM architecture experience (RAG patterns, evaluation harnesses, prompt orchestration, guardrails)
• Graph/Network analytics exposure (Neo4j/TigerGraph/NetworkX/GraphX).
• Spark/Scala/PySpark at enterprise scale (data processing + ML pipelines)
• BFSI domain exposure and ability to design within regulated / compliance-heavy environments.
Roles & Responsibilities
- Architect and drive the design, development, and deployment of scalable ML/AI solutions.
- Lead and actively contribute to data science initiatives across the full project lifecycle - from
ideation and solution design to hands-on development, deployment, and production support.
- Define standards, best practices, and governance for AI/ML solutioning and model management.
- Collaborate with data engineering, MLOps, product, and business teams.
- Oversee integration of data science models into production systems.
- Design and implement AI solutions on cloud platforms (AWS/Azure/GCP) and/or on-prem using
open-source technologies
- Evaluate and recommend ML tools, frameworks, and cloud-native services aligned to performance,
security, and cost goals.
- Ensure architectures address enterprise non-functionals: scalability, resiliency, observability, security,
and compliance.
- Perform MLOps design and implementation (and lead the team on same if needed) including CI/CD for ML,
reproducibility, model registry, monitoring, drift detection, and operational controls
- Define standards, best practices, and governance for AI/ML solutioning and model management
(validation, documentation, approvals, audits).
- Architect solutions leveraging LLMs (including GPT-class models) for enterprise GenAI use cases and design
patterns such as RAG, guardrails, evaluation and safety controls.
- Guide data strategy and feature store design; align data engineering and ML engineering for reliable feature
pipelines.
- Provide architectural direction for big data processing using Spark/PySpark for large-scale feature generation
and training workflows.
- Partner with stakeholders to identify high-value use cases, shape roadmaps, and translate business requirements
into robust technical architecture
- Present architecture, trade-offs, risk controls, and delivery plans clearly to technical and executive audiences.
- Mentor ML engineers, data scientists, and platform teams; establish architectural guardrails, design reviews,
nd engineering standards.
- Open-source contributions or published research.
Generic Managerial Skills, If any
senior AI/ML Architect (15+ years) to perform end-to-end architecture and delivery of scalable, secure,
production-grade AI/ML systems for BFSI clients. You will own solution blueprints across the full lifecycle-from
use-case discovery and architecture to platform selection, MLOps/LLMOps design, deployment, and governance-
and mentor cross-functional teams (data scientists, ML engineers, data engineers, and application teams). You will work
closely with stakeholders to identify high-value use cases and ensure seamless integration of models into
business applications. Your deep expertise in machine learning, cloud-native architectures, MLOps practices, and
financial domain knowledge will be essential to influence strategy and deliver transformative business impact

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.