AI Developer

2 days ago

Chennai, Tamil Nadu, India Allegis Group Full time

Key Responsibilities

Platform Leadership

  • Serve as the lead owner of IBM watsonx and Google Vertex AI platforms, overseeing configuration, governance, and operational maturity.
  • Drive platform onboarding strategy, enablement, and hands-on support across data science, engineering, and analytics teams.
  • Standardize reusable frameworks, templates, and infrastructure patterns for both platforms to accelerate project delivery.

AI & ML Pipeline Automation

  • Architect and manage enterprise-wide CI/CD and MLOps pipelines for:
  • Model training, tuning, evaluation, and deployment
  • Data ingestion, transformation, and streaming
  • Infrastructure provisioning and teardown (IaC)
  • Build and maintain reusable templates for AI applications, workflows, and serving endpoints in IBM and Vertex AI.

Agentic AI Enablement

  • Design and operationalize pipelines for Agentic AI systems using LLMs, orchestration agents, and decision engines.
  • Integrate intelligent agent workflows with platform capabilities and monitor lifecycle behavior and governance adherence.

AI Governance (incl. watsonx.governance)

  • Implement and operationalize AI governance frameworks using IBM watsonx.governance.
  • Define model approval workflows, track metadata, enforce responsible AI policies, and ensure transparency, bias detection, and explainability.
  • Collaborate with legal, compliance, and information security teams to embed AI governance across all AI/ML systems.

DevSecOps & Automation

  • Integrate DevSecOps practices into pipelinesautomating vulnerability scans, access policies, and secrets management.
  • Embed security compliance and quality gates into all CI/CD workflows across AI and application domains.

Business Intelligence & Semantic Modeling

  • Provide architectural guidance to BI teams using Power BI and Looker.
  • Oversee data modeling, semantic layer standardization, and connectivity to enterprise data lakes and warehouses.

Team Leadership

  • Lead and mentor a cross-functional team of AI platform engineers, MLOps practitioners, BI analysts, and DevSecOps engineers.
  • Define goals, delivery milestones, documentation standards, and best practices for scalable operations.

Qualifications

Education

  • Bachelor's or master's in computer science, Engineering, or related technical field.

Experience

  • 8+ years in cloud engineering, MLOps, or platform leadership roles.
  • 3+ years leading enterprise platform delivery and infrastructure automation.
  • Proven experience managing IBM watsonx and Vertex AI in production environments.
  • Hands-on delivery of secure, automated pipelines using Terraform, GitOps, and containerized workflows.
  • Experience implementing AI governance and compliance using commercial tools and internal frameworks.
  • Familiarity with BI tools (Power BI, Looker) and semantic modeling techniques.

Technical Skills

  • Platforms: IBM , watsonx.governance, Vertex AI, Azure ML
  • Automation: Terraform, Ansible, GitHub Actions, GitLab CI, Azure DevOps
  • Languages: Python, Bash, YAML
  • Containers: Docker, Kubernetes
  • ML Tools: MLflow, TFX, or similar
  • Governance: Bias detection, metadata tracking, model lineage, risk management

Preferred Qualifications

  • Certifications: GCP, IBM, or Azure AI/MLOps certifications
  • Experience with Agentic AI systems (e.g., LangChain, IBM Orchestrate, or custom frameworks)
  • Familiarity with NIST, EU AI Act, or internal model risk governance frameworks

Prior experience deploying internal platform-as-a-service offerings for AI/ML

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