AI Solution Architect

Job Title:

AI Solution Architect

Location:

London, United Kingdom (Hybrid - 1 day/week)

Job Type: Contract Inside IR35

Client:
Mphasis

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

• 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.

• 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 (AWS, Azure, Google, Hugging Face, OpenAI, 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 AWS, GCP, and Microsoft Azure.

• Expertise in any one framework (Tensor Flow, 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 API’s & integrations, patterns.
• Extensive knowledge of big data technologies.
• Knowledge on statistical methods.

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

• Graduate in Engineering or master’s in computer applications.

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

• 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.

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