Job: Technical Architect Open
Exp: 10+Years
POSITION: AI/Gen AI - Solution Architect
Location: Offshore/Onsite Bangalore/Pune
Who are we looking for?
We are looking for a technically savvy and business-minded AI solutions architect to deeply.
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 LLM's
- 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
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.