Senior AI Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global professional services firm with a significant footprint in the accounting and financial services sector. They are committed to driving digital transformation through cutting-edge technology and are currently expanding their AI engineering capabilities to deliver enterprise-grade intelligent solutions.
About the role.
We are seeking a Senior AI Engineer to architect and lead the development of scalable, secure, and production-ready Generative AI applications. You will play a pivotal role in designing intelligent workflows and agentic systems while mentoring a team of engineers to elevate the firm's overall AI maturity.
What you will do.
- Lead the architecture, design, and implementation of enterprise-grade AI applications and intelligent workflows.
- Develop and deploy solutions leveraging LLMs, RAG, semantic search, and multi-agent orchestration frameworks.
- Partner with business stakeholders and product teams to translate complex requirements into scalable AI roadmaps.
- Mentor junior engineers, conduct rigorous design and code reviews, and foster engineering excellence.
- Guide the adoption of emerging AI tools, frameworks, and industry best practices.
- Ensure all AI solutions adhere to strict security, compliance, and responsible AI standards.
What you bring.
- 3–6 years of professional experience in software engineering with a focus on AI/ML solutions.
- Strong proficiency in Python and hands-on experience with frameworks like LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel.
- Deep expertise in RAG architectures, including vector databases, chunking strategies, and semantic search.
- Proven experience with cloud-native AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Experience with AI evaluation and observability tools like LangSmith, RAGAS, or DeepEval.
- Solid understanding of cloud-native engineering, containerization, and Kubernetes.
- Familiarity with financial services compliance frameworks such as GDPR, DORA, and Basel III/IV.
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