Solution Architect - AI (Remote)

RemoteStar; Cambridge; Remote; GBP 95,000 - 120,000; Full time

Job summary

A global technology consulting firm in the UK seeks an AI Solution Architect and COE Lead to design and implement AI solutions. The ideal candidate has over 11 years in AI, including leadership in a Centre of Excellence. Responsibilities include driving AI strategy, stakeholder collaboration, and ensuring ethical AI governance. This role offers the chance to influence AI practices in a leading firm.

Qualifications

• 11+ years of experience in AI, machine learning, or data science.
• 7+ years in a leadership or architecture role, ideally with COE experience.
• Hands-on experience with AI frameworks and cloud platforms.

Responsibilities

• Lead the design, development, and deployment of AI solutions.
• Provide technical leadership to cross-functional AI teams.
• Work closely with stakeholders to identify business requirements.

Skills

AI/ML Expertise

Architecture Skills

Leadership and Communication

Project Management

Governance and Best Practices

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

Google Cloud

Job description

About the Client:

The company has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. They have been delivering services to some of the leading Fortune 500 Companies including Automotive, AdTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks.

Job Overview:

The AI Solution Architect and COE Lead will play a pivotal role in leading the design, development, and implementation of artificial intelligence solutions within the organization. This position will also be responsible for driving the strategy for AI excellence and best practices by establishing and overseeing the AI Centre of Excellence (COE). The COE will focus on nurturing AI talent, fostering knowledge sharing, and continuously evolving AI practices across the organization.

Location: Chennai, Onsite

Experience:

• 11+ years of experience in AI, machine learning, or data science, with a proven track record of delivering AI solutions.
• 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a Centre of Excellence or similar initiative.
• Hands-on experience with AI frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud.
• Experience in multiple industries is advantageous (e.g., healthcare, finance, retail).

Skills:

• AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques.
• Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance AI solutions.
• Leadership and Communication: Excellent leadership skills with the ability to influence and collaborate with cross-functional teams. Strong presentation and communication skills for engaging stakeholders at all levels.
• Project Management: Experience managing large, complex projects with diverse teams and tight deadlines.
• Governance and Best Practices: Deep understanding of AI governance frameworks, industry standards, and ethical guidelines.

Key Responsibilities:

1. AI Solution Architecture:

• Design and Develop AI Solutions: Lead the end-to-end process of designing, developing, and deploying AI solutions tailored to business needs.
• Technical Leadership: Provide technical leadership to cross-functional teams working on AI-related projects, ensuring high standards in solution design, integration, and deployment.
• Consulting and Advisory: Work closely with stakeholders to identify business requirements and translate them into AI-powered solutions, including machine learning models, data pipelines, and AI-driven processes.
• Platform Selection and Integration: Evaluate and select appropriate AI tools, platforms, and technologies to meet business goals. Oversee integration with existing systems, ensuring scalability and efficiency.
• Optimization and Innovation: Continuously monitor, optimize, and evolve AI solutions, keeping the organization at the forefront of AI advancements.

Centre of Excellence (COE) Management:

• Develop and implement a strategy for the AI Centre of Excellence, ensuring alignment with business objectives and AI best practices.
• Establish frameworks for knowledge sharing, training, and governance, ensuring that AI practices are consistent and scalable across the organization.
• Foster a culture of innovation and experimentation, encouraging cross-functional collaboration and new AI research and application.
• Lead efforts to upskill internal teams by organizing training sessions, workshops, and seminars focused on the latest AI technologies and methodologies.
• Define AI-related standards, processes, and best practices across the organization. Ensure all teams adhere to these guidelines to maintain quality and consistency.

Stakeholder Engagement:

• Collaborate with business leaders, data scientists, IT teams, and product managers to deliver effective AI solutions.
• Engage with clients to understand their needs, demonstrate AI capabilities, and provide thought leadership on how AI can address their challenges.
• Report regularly to senior leadership on the progress of AI initiatives, highlighting key milestones, risks, and opportunities.

Research and Development:

• Stay updated on the latest developments in AI technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes.
• Lead the development of PoCs and pilot projects to test AI ideas and validate their feasibility before broader implementation.

AI Governance and Compliance:

• Ensure the responsible and ethical use of AI, considering issues related to fairness, transparency, privacy, and security.
• Maintain awareness of AI-related regulations and ensure solutions adhere to legal, ethical, and industry standards.