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.)
Solid 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

📌 Ai Architect (Chennai)
🏢 Unison Group
📍 Chennai