What are the responsibilities and job description for the Agentic AI Architect position at ApTask?
Role Summary:
Lead architecture, design, and delivery of Agentic AI and RAG-based solutions, partnering with customers and internal teams to build scalable, secure, and high-impact AI systems.
Must-Have:
- Strong experience in RAG pipelines, embeddings, vector DBs, LLM orchestration, and prompting techniques.
- Hands-on expertise in AWS (Lambda, API Gateway, Bedrock, S3, OpenSearch, IAM, VPC, Secrets Manager).
- Ability to design end-to-end AI architecture and build PoCs before committing solutions to customers.
- Deep understanding of AI guardrails (toxicity, hallucination control), data privacy, and cloud security patterns.
- Proven ability to lead from the front, mentor teams, and own delivery under tight timelines and high visibility.
- Strong customer communication skills – ability to explain architecture, trade-offs, and risks clearly.
- Experience handling model evaluation, observability, performance tuning, and cost optimization in production AI systems.
- Expertise in API design, microservices integration, and event-driven architectures for AI systems.
Good-to-Have:
- Experience with Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, etc.).
- Exposure to marketing domain use cases (campaign optimization, personalization, analytics, insights).
- Familiarity with multi-agent orchestration, tool usage (MCP), and human-in-loop workflows.