AI Architect

Chennai, Tamil Nadu
Permanent
Full-time

3 days ago
Apply easily

Role Overview:We are seeking an experienced AI Architect who can lead end-to-end AI solutioning, from business problem framing to architecture design and implementation guidance. This role requires a blend of technical depth, strategic thinking, and stakeholder engagement to design scalable, secure, and business-aligned AI/ML solutions.Key Responsibilities:1. AI Solutioning & Architecture

Translate business requirements into AI-driven solution architectures
Design end-to-end systems including data pipelines, model development, deployment, and monitoring
Define reference architectures, reusable frameworks, and best practices

2. Stakeholder Engagement

Collaborate with business leaders, product managers, and engineering teams to identify AI opportunities
Act as a trusted advisor, explaining AI capabilities, trade-offs, and ROI
Lead solution workshops, PoCs, and technical discussions

3. Technology Leadership

Select appropriate tools, platforms, and frameworks (e.g., TensorFlow, PyTorch, cloud AI services)
Architect solutions leveraging cloud platforms (AWS / Azure / GCP) and modern data stacks
Ensure scalability, reliability, and performance of AI systems

4. Governance & Responsible AI

Define and enforce AI governance, ethics, and compliance standards
Ensure solutions adhere to security, privacy, and regulatory requirements
Implement model explainability, bias detection, and monitoring mechanisms

5. Delivery Oversight

Guide development teams through implementation
Review code, models, and architectures to ensure quality
Drive PoCs to production-ready solutions

Required Qualifications:

Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
10+ years of experience in technology, with 5+ years in AI/ML architecture or solutioning
Strong experience in:

Machine Learning, Deep Learning, NLP, or Generative AI
Designing distributed and scalable systems
API-first and microservices architecture
Hands-on experience with:

Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
Data platforms (Spark, Databricks, Snowflake)

Preferred Skills:

Experience in Generative AI / LLM-based solutions
Knowledge of RAG architectures, prompt engineering, vector databases
Familiarity with DevOps / MLOps pipelines
Experience in regulated industries (Banking, Healthcare, etc.)
Strong communication and presentation skills

Key Competencies:

Solution-oriented mindset
Strategic thinking with hands-on execution ability
Strong problem-solving and analytical skills
Ability to influence senior stakeholders

Unison Group