Sr. AI Engineer/ Architect

We are seeking a highly skilled and innovative Senior AI Engineer to lead the development and deployment of advanced AI/ML solutions. This role involves designing scalable systems, fine-tuning large language models, and collaborating with cross-functional teams to deliver impactful AI features. The ideal candidate will have a strong technical background, a passion for AI innovation, and a commitment to ethical AI practices.

Key Responsibilities

AI/ML Solution Development

- Lead the design, development, and deployment of GenAI models and intelligent agents.

- Manage the full lifecycle of AI/ML projects from use case definition and data preparation to model training, deployment, and monitoring.

- Fine-tune large language models (LLMs) for internal applications and optimize prompts for NLP tasks.

- Extract structured insights from unstructured documents using advanced AI techniques.

System Architecture & Engineering

- Architect and implement scalable AI/ML systems across cloud and on-premise environments.

- Design and evolve AI/ML pipelines and software architecture to support continuous delivery and model lifecycle management.

- Automate batch inference workflows and integrate AI features into both internal tools and customer-facing products.

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Requirements:

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field.


• 5+ years of experience in AI/ML development, with a strong focus on NLP and LLMs.


• Proven experience deploying AI/ML models in production environments.


• Proficiency in Python, ML frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (e.g., AWS, Azure).


• Experience with MLOps, model deployment, and scalable system design.


• Strong communication skills and a collaborative mindset.

Preferred Knowledge and Experience:

• Experience with tools like Databricks, Azure ML, and Snowflake.


• Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.


• Understanding of AI security and compliance frameworks.

Competencies:

• Self-motivated, able to multitask, prioritize, and manage time efficiently


• Strong problem-solving skills


• Data analysis skills. Ability to analyze complex data and turn it into actionable information


• Collaboration and teamwork across multiple functions and stakeholders around the globe


• Flexibility and adaptability


• Process management / process improvement


• Drive for results, Able to work under pressure and meet deadlines


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Innovation & Research

- Explore and prototype new use cases for LLMs and emerging AI technologies.

- Define architectural changes that can be implemented incrementally to minimize risk and maximize impact.

Collaboration & Communication

- Collaborate with cross-functional teams including engineers, data scientists, and domain experts to deliver impactful AI solutions.

- Translate complex technical concepts into clear insights for non-technical stakeholders.

- Author technical design documents and participate in peer code reviews to ensure code quality and knowledge sharing.

- Mentor team members on AI/ML techniques, tooling, and best practices.

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