2 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Translate client business problems into staged AI solution roadmaps across pre-sales and delivery.
- Architect and review end-to-end GenAI, agentic AI, multimodal, applied ML, and SLM solutions across concurrent engagements.
- Design multi-agent systems with planning, tool use, persistent memory, grounded retrieval, and inter-agent communication.
- Define retrieval, knowledge graph, vector, graph, and NoSQL architectures for enterprise AI systems.
- Establish evaluation frameworks, golden datasets, regression suites, automated and human evaluations, observability, guardrails, and red-team testing.
- Set production-readiness standards for reliability, latency, cost, monitoring, drift detection, and incident response.
- Drive cloud, on-premises, and edge deployment practices, including model serving, GPU operations, and lifecycle automation.
- Shape the AI practice roadmap, reusable components, reference architectures, technical standards, and hiring bar.
- Mentor AI Engineers and Lead AI Engineers through technical reviews, pairing, interviews, and knowledge exchange.
- Partner with engineering, data science, product, DX, clients, and stakeholders on delivery, feasibility, risk, estimation, and solutioning.
- Support pre-sales for GenAI and agentic AI opportunities and communicate technical trade-offs to technical and non-technical audiences.
Requirements
- 10–12 years of hands-on experience building and deploying ML, deep learning, and AI systems in production, with progression into solution architecture and technical leadership.
- At least 10 years of experience working with global businesses and delivering on large accounts.
- At least 3 years of hands-on GenAI and/or agentic AI experience beyond prompt engineering and basic RAG, including multi-agent systems, custom fine-tuning, multimodal pipelines, or SLM deployments.
- At least 3 years of experience leading ML-AI technical pods or teams, formally or through dotted-line leadership, and mentoring senior engineers.
- Advanced Python, SQL, API and backend engineering with FastAPI, Flask, or Django, and production-grade software practices.
- Strong knowledge of LLMs, SLMs, RAG, agentic RAG, multimodal architectures, agents, prompt engineering, grounding, knowledge graphs, fine-tuning, distillation, and quantization.
- Experience with multi-agent orchestration, planning, tool use, persistent memory, MCP, A2A, LangGraph, LlamaIndex, or AutoGen.
- Experience designing evaluation frameworks, golden datasets, automated and human evaluations, red-teaming, guardrails, hallucination control, and AI observability.
- Strong ML and deep learning foundations, including predictive modeling, CNNs, RNNs/LSTMs, Transformers, embeddings, vector search, computer vision, NLP, and time series.
- Experience with AWS, Azure, or GCP, model serving, GPU or accelerator operations, CI/CD, monitoring, and on-premises or edge deployments.
- Experience with Kafka, Spark or Flink, Hadoop, MongoDB, and NoSQL, graph, or vector stores, plus large-scale streaming and batch pipelines.
- Strong foundations in linear algebra, probability, statistics, and optimization.
- Enterprise-grade AI architecture and delivery experience, preferably in regulated or high-stakes environments.
- Excellent communication skills and the ability to explain agentic, multimodal, and SLM trade-offs to engineers, business stakeholders, and clients.
- Experience with Salesforce and Adobe commerce cloud ecosystems is preferred.
Benefits
- Full-time, permanent employment.
- Hybrid work structure requiring at least three days per week in the office.
- Location: DGS India, Bengaluru, Manyata H2 block.
- Brand: Merkle.
Tech Stack
Apache FlinkApache HadoopApache KafkaApache SparkAWSAzureDjangoFastAPIFlaskGoogle Cloud PlatformMongoDBPythonSQL
Categories
About Dentsu
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.