Job Summary
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 company's success.
Years of experience needed: 15+ yrs
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.
* 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 (e.g., 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 APIs & Integrations, Patterns.
* Extensive knowledge of big data technologies.
* Knowledge of Statistical Methods.
* Other skills we’d appreciate.
Additional Information
* 1. 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.
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