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Lead AI Solution Architect - Python / R / SQL

Lead AI Solution Architect - Python / R / SQL

Process Tech Management Consultants Pvt. LtdChennai
10 days ago
Job description

Job Title : Lead AI Solutions Architect

Job Level : Level 4

Duties and Responsibilities : Team / Context :

As the technical lead for AI architecture on the squad, you report directly to the Director of Engineering (onshore), and partner with the AI Product Manager, senior engineers, and data specialists. You own the end- to- end technical vision, system design, and architectural standards, mentoring engineers and establishing best practices for scalable, secure, and high- performing AI products in a cross- functional, often distributed environment.

Duties & Responsibilities :

  • Define, document, and communicate system architecture for custom and integrated AI solutions.
  • Ensure best practices in code quality, modularity, testing, and Responsible AI implementation across the stack.
  • Guide technology choices and system design decisions, balancing innovation with maintainability.
  • Collaborate closely with Product, MLOps, Data, and Security teams to ensure holistic solution delivery.
  • Mentor engineering teams, conduct design / code reviews, and drive technical upskilling.
  • Own technical evaluation and integration of third- party AI, ML, and platform services.
  • Identify and mitigate architectural risks around scalability, security, cost, and compliance.
  • Lead technical troubleshooting and resolution of production issues.

Skills :

  • Proven experience in data science, preferably in the manufacturing domain.
  • Strong knowledge of statistical analysis, machine learning, and predictive modeling.
  • Proficiency in programming languages such as Python, R, and SQL.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases.
  • Excellent problem- solving skills and ability to work with complex datasets.
  • Strong communication skills to effectively convey technical concepts to non- technical stakeholders.
  • Ability to work independently and as part of a team in a fast- paced environment.
  • Proficiency in regression analysis, hypothesis testing, and multivariate analysis.
  • Experience with supervised and unsupervised learning, reinforcement learning, and deep learning.
  • Expertise in data cleaning, normalization, transformation, and feature engineering.
  • Understanding of manufacturing processes, supply chain management, and quality control.
  • Familiarity with version control systems (e.g., Git) and software development best practices.
  • Ability to manage multiple projects simultaneously and deliver results within deadlines.
  • Strong analytical thinking, attention to detail, and a proactive approach to problem- solving.

    • Years of Experience - 8+ years (minimum 3 years architecting AI / ML or large- scale distributed systems)

    Must Have : Nice to Have :

  • Domain Expertise Senior- level experience designing distributed, cloud- native, or hybrid AI / ML systems.
  • Deep understanding of ML pipelines, APIs, data integration, and platform scalability.
  • Experience integrating GenAI, LLMs, or advanced NLP into production systems.
  • AI / ML platform deployment for regulated industries.

    • Technical / Functional Skills :

  • Familiarity with MLOps (Kubeflow, MLflow, Seldon, TF , etc.), zero- trust security, or data lineage / compliance tools.
  • Experience with on- premises / cloud hybrid solutions.
  • Experience with ML frameworks (TensorFlow, PyTorch, etc.), containers, CI / CD, and security- by- design.
  • Architecture documentation (UML, C4, or similar).
  • Built or contributed to developer- facing platforms, SDKs, or ML ops tooling.
  • Prior leadership of teams in a multi- vendor, globally distributed setup.
  • Project Experience : Led successful large- scale AI, data, or analytics system launches.
  • Hands- on in troubleshooting and performance optimization in multi- team environments.
  • Conducted vendor / tool evaluations for AI / ML solution procurement.
  • MLOps or Security specialization certifications.
  • Certifications : Cloud architect certification (AWS / GCP / Azure Solution Architect or equivalent) or TOGAF.

    • ref : hirist.tech)

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    Lead AI Solution Architect - Python/R/SQL • Chennai