About Ascendion
Ascendion is a leader in AI-powered software engineering, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
- Build the coolest tech for world's leading brands
- Solve complex problems – and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Master your craft with leading training programs and hands-on experience
Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About The Role
Job Title: Agentic AI Solution Architect
Key Responsibilities
- Define and own the technical architecture for agentic AI solutions across client engagements
- Design, develop, and deploy LLM-based agentic applications and complex multi-agent workflows end-to-end
- Build and optimise RAG systems, prompt strategies, and interaction patterns for production use
- Integrate tools, APIs, data sources, and MCP servers to enhance agent capabilities and context
- Deploy, operate, and iterate on AI systems in production — including performance tuning and cost optimisation
- Lead technical discovery, solutioning workshops, and architecture reviews with clients
- Implement testing, evaluation, and monitoring strategies to ensure system reliability and safety
- Collaborate with product managers, designers, and engineers to translate requirements into technical solutions
- Establish best practices for prompt engineering, context management, and agent design within the organisation
- Contribute to the technical roadmap, proposals, and pre-sales discussions
- Maintain clear and diligent reporting on delivery progress, technical risks, and architectural decisions
- Mentor junior engineers and drive knowledge sharing across the team
- Stay current with the latest research in generative AI, LLMs, agentic systems, and emerging protocols
Software Engineering & Architecture
- Strong proficiency in **Python** — production-quality development, not just prototyping
- Deep experience with **API design and development** (REST, gRPC, event-driven architectures) and integrating external services
- Solid **backend engineering** fundamentals — distributed systems, microservices, data pipelines, message queues
- Experience in **automation engineering** — CI/CD pipelines, infrastructure-as-code, automated testing strategies
- Deep insight into the **end-to-end software development lifecycle** — from requirements through to production operations
- Production deployment and operations experience — performance tuning, cost optimisation, monitoring, and iteration
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation/orchestration (Docker, Kubernetes)
- Solid understanding of version control (Git), testing strategies, and software development best practices
- Experience with Snowflake is a plus
Testing & Evaluation
- Ability to implement testing, evaluation, and monitoring strategies for agentic systems
- Experience measuring and ensuring effective reasoning, tool usage, reliability, and safety in production AI systems
Location: Bangalore
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