Senior AI Architect

Role: Senior AI Architect
Exp: 12 to 17 yrs
Location: PAN
Notice Period: Immediate to 15 days

Job Description
We are seeking an accomplished Senior AI Architect to lead the end-to-end design and deployment of cutting-edge AI solutions at enterprise scale. Leveraging your deep expertise in generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AWS, you will shape strategic AI initiatives, mentor engineering teams, and ensure our solutions deliver transformative business value. If you thrive on turning complex challenges into elegant, scalable architectures and enjoy working in a collaborative, innovation-driven environment, we invite you to join our forward-thinking organization.

Responsibilities:
1. Architect and own the design of enterprise-grade AI solutions, with a primary focus on generative AI, LLMs, and RAG pipelines.
2. Define and maintain AI/ML architecture standards, best practices, and governance models aligned with business objectives.
3. Collaborate with product, data science, engineering, and DevOps teams to translate business requirements into scalable AI architectures.
4. Lead end-to-end solution delivery on AWS, covering data ingestion, model training, deployment, monitoring, and continuous improvement.
5. Evaluate emerging AI technologies, tools, and frameworks, providing strategic recommendations for adoption.
6. Mentor and guide cross-functional teams on AI architecture, coding standards, and cloud best practices.
7. Ensure security, compliance, performance, and cost optimization across all AI workloads.
8. Present architectural solutions and roadmaps to executive stakeholders, articulating value and ROI.
9. Drive POCs and pilot projects to validate architectural approaches and accelerate innovation.
10.Create and maintain comprehensive architecture documentation, playbooks, and
knowledge-sharing resources.

Requirements:
1. 15–19 years of overall technology experience, with at least 5 years in AI/ML architecture and solution design.
2. Proven track record architecting and deploying generative AI solutions using Large Language Models (e.g., GPT, Llama, PaLM) and Retrieval Augmented Generation techniques.
3. Deep expertise in AWS services relevant to AI/ML (SageMaker, Bedrock, Lambda, ECS/EKS, DynamoDB, S3, IAM, etc.).
4. Strong programming proficiency in Python and experience with ML/AI frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
5. Comprehensive understanding of data engineering, feature stores, MLOps, CI/CD, and monitoring for AI pipelines.
6. Demonstrated ability to define architecture standards, patterns, and best practices in large, complex environments.
7. Excellent stakeholder management, communication, and presentation skills, with experience influencing executive leadership.
8. Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Nice to Have:
1. Experience integrating AI solutions with enterprise SaaS platforms (e.g., Salesforce, ServiceNow).
2. Familiarity with multi-cloud or hybrid cloud strategies (Azure, GCP) in AI deployments.
3. Knowledge of responsible AI, model interpretability, and AI ethics frameworks.
4. Contributions to open-source AI/ML projects or published research in reputable conferences/journals.
5. Industry experience in domains such as finance, healthcare, or manufacturing with regulated environments.

Roles & Responsibilities
About the Role:
As an AI Architect, you will play a pivotal role in designing and implementing advanced AI solutions that meet business needs. You will collaborate with cross-functional teams to define project requirements and translate them into scalable architectures. Your expertise will guide technical decisions and ensure the integrity of AI systems throughout the development lifecycle.

About the Team:
You will be part of a dynamic team of machine learning engineers, Gen AI engineers and software developers. The team values innovation and encourages collaboration to drive cutting-edge AI projects. You will interact with various departments, fostering a culture of knowledge sharing and continuous improvement as you work towards shared goals.

You are Responsible for:
- Developing AI system architectures that are robust, scalable, and maintainable.
- Evaluating and selecting appropriate AI technologies and tools for projects.
- Leading the design and implementation of machine learning models and algorithms.
- Collaborating with stakeholders to gather requirements and translate them into technical specifications.
- Ensuring compliance with industry standards and best practices in AI development.
To succeed in this role – you should have the following:
- Extensive experience in artificial intelligence and machine learning concepts.
- Strong programming skills in languages such as Python, along with experience in relevant frameworks.
- Proven track record of designing and deploying AI solutions in production environments.
- Excellent problem-solving skills and the ability to think critically about complex challenges.
- Strong communication and interpersonal skills to collaborate effectively with diverse teams.

Mandatory Skills
Ai Architect, generative ai, Large Language Model, Retrieval Augmented Generation, AWS, Gen AI architect, SageMaker, Bedrock