Principal Solutions Architect

Overview

Overview

About Inception

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

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

What Working At Inception Offers

What We Look For

What Working At Inception Offers