Principal Solutions Architect

G42; Abu Dhabi; Hybrid; AED 400,000 - 700,000; Full time

Benefits offered by this job

Healthcare

Education support

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Job summary

Inception AI, a G42 company, seeks a Principal Solutions Architect to lead enterprise-scale AI initiatives in Abu Dhabi. You will drive MCP and A2A orchestration across hybrid and on-prem environments, shaping AI strategy and delivering scalable, secure AI systems.

Join a leadership-driven team to pioneer agentic AI, oversee cross-functional projects, and advance Interoperability standards while aligning with business goals.

Qualifications

• Advanced degree in a technical field with 10+ years in AI/ML solution design and development.
• Proven leadership of large-scale AI projects and cross-functional teams.
• Extensive cloud and hybrid deployments experience (AWS/Azure/GCP plus on-prem GPU).
• Strong programming skills in Python, Rust, or Java and companion ML frameworks.

Responsibilities

• Define and drive AI strategy aligned with business objectives.
• Architect and oversee scalable, high-performance AI solutions and multi-agent systems.
• Lead full lifecycle of AI projects, coordinating cross-functional teams and budgets.
• Collaborate with leadership to translate business needs into technical solutions.

Skills

Agentic AI design

Model orchestration

Multi-agent communication

LLMs & agent frameworks

Hybrid AI deployments

Python

Rust

Education

Master's or PhD in Computer Science / Data Science / Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Semantic Kernel

Job description

Overview:

Inception AI is spearheading a transformative initiative to deploy a large-scale AI program across Abu Dhabi’s critical sectors, including Government, Education, and State-Owned Enterprises (SOEs).

We are seeking an accomplished Principal Solutions Architect to lead our enterprise-scale AI initiatives and drive the development of sophisticated AI solutions. The AI Delivery Principal Solutions Architect will play a critical role in shaping our AI strategy, leading high-impact projects, and providing technical leadership across the organization. This role will pioneer the use of Model Context Protocol (MCP) and Agent-to-Agent (A2A) orchestration to build scalable, secure, and interoperable AI systems across hybrid and on-premise environments. The ideal candidate will have extensive experience in AI/ML, a strategic mindset, and exceptional leadership abilities.

About Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Responsibilities:

Strategic Leadership

• Define and drive the AI strategy aligned with business objectives.
• Identify and prioritize AI opportunities that deliver significant business value.
• Serve as a thought leader in AI, both within the organization and in the industry.

Solution Architecture

• Architect and oversee the implementation of scalable, high-performance AI solutions.
• Architect and oversee multi-agent AI systems leveraging MCP for shared context management, interoperability, and secure inter-agent communication
• Ensure all AI solutions adhere to principles of scalability, modularity, observability, security, and governance across federated infrastructures
• Design A2A collaboration frameworks enabling autonomous, goal-oriented coordination between specialized agents across cloud, edge, and on-prem deployments
• Lead the design of hybrid AI architectures integrating Generative AI, structured reasoning agents, and traditional enterprise services
• Lead the evaluation and adoption of new AI technologies and frameworks.

Project Leadership

• Oversee the full lifecycle of AI projects, from conceptualization to deployment and optimization.
• Lead cross-functional teams, ensuring collaboration and alignment across departments.
• Manage project timelines, resources, and budgets, ensuring successful delivery.

Technical Expertise

• • Deep technical proficiency in agentic AI design, model orchestration, and multi-agent communication protocols (e.g., MCP, LangChain, Semantic Kernel)
  • Proven experience integrating LLMs and agent frameworks into enterprise ecosystems
  • Hands-on experience with hybrid AI deployments, combining cloud-native scalability with on-premise GPU and edge compute environments
  • Ensure best practices in AI model development, deployment, and maintenance.

Collaboration and Influence

• Partner with the leadership team to communicate the value and impact of AI initiatives.
• Collaborate with product management, data science, and engineering teams to translate business needs into technical solutions.

Continuous Innovation

• Stay at the forefront of AI research and trends, bringing innovative ideas to the organization.
• Foster a culture of continuous improvement and learning within the AI team.
• Evaluate and implement MLOps practices to streamline AI workflows and model management.
• Collaborate with global partners to advance MCP standards and ensure interoperability across multi-model ecosystems

Qualifications:

Skills and attributes for success

• Exceptional problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to influence and inspire others.
• Strategic thinker with a proactive approach to driving change and innovation.

To qualify for the role you must have

• Master's or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
• 10+ years of experience in AI/ML solution design and development, with a track record of delivering impactful AI solutions.
• Demonstrated experience in leading large-scale AI projects and managing cross-functional teams.
• Extensive experience with cloud platforms (AWS, Azure, GCP) and AI services and hybrid AI deployments combining cloud-native scalability with on-premise GPU
• Strong programming skills in languages such as Python, Rust, or Java.
• Expertise in machine learning algorithms, natural language processing, computer vision, and deep learning techniques.
• Proficiency with AI/ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn, Semantic Kernel.).
• Strong understanding of data engineering, ETL processes, and distributed data technologies (e.g., Spark, Ray, Kafka) with experience integrating structured and unstructured data pipelines into AI and agentic ecosystems
• Experience with MLOps and deploying models in production environments.

What we look for

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.

What working at Inception offers

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Work-Life: A hybrid work policy to strike the perfect balance between office and home.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.