Principal Architect

We are looking for a technically savvy and business-minded solutions architect to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will collaborate with a dynamic team of professionals, contribute to cutting-edge technologies, and make a significant impact on our companys success.

Responsibilities:

• Lead development of and provide hands-on technical leadership in the delivery of proofs-of-concept or proofs-of-architecture for our customers.
• Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real-world problems.
• Deeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API.
• Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value.
• Forge and manage relationships with our customers leadership and stakeholders to ensure their application s successful deployment and scale.
• Contribute to open-source developer and enterprise resources.
• Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
• Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.

Technical Skills - Must have:

• AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions.
• A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLMs.
• Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM).
• Comfortable working with Python and Jupyter Notebooks.
• Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

Technical Skills - Good to have:

• Expertise in any one framework (TensorFlow, Pytorch, Keras).
• Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.)
• Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML.
• Expertise in optimizing AI solutions for runtime cost.
• Expertise in conversational system architecture.
• Extensive knowledge on API s & Integrations, Patterns.
• Extensive knowledge of big data technologies.
• Knowledge on Statistical Methods.

Other Skills We d Appreciate:

• Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc.

Education Qualification:

• Graduate in Engineering OR master s in computer applications.

Process Skills:

• General SDLC processes
• Understanding of utilizing Agile and Scrum software development methodologies
• Skill in gathering and documenting user requirements and writing technical specifications.

Behavioral Skills :

• Good Attitude and Quick learner.
• Well-developed design, analytical & problem-solving skills
• Strong oral and written communication skills
• Excellent team player, able to work with virtual teams.
• Self-motivated and capable of working independently with minimal management supervision.

Certification:

• Having Machine Learning or AI certifications would be an added advantage.