FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud PlatformPythonServiceNow
About the role
Key responsibilities & impact- Design, develop, and deploy autonomous AI agent ecosystems using LangChain, AutoGen, CrewAI, and Semantic Kernel
- Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration
- Align AI agent solutions with business goals and industry use cases across sectors
- Participate in RFI/RFP responses by creating solution overviews, architectural diagrams, and effort/cost estimations
- Define solution blueprints, MVP scopes, and transformation roadmaps with AI Strategists, Engagement Managers, and Domain SMEs
- Participate in client workshops, demos, and innovation showcases
- Develop reusable agent templates, accelerators, and reference architectures
- Stay current with GenAI advancements, toolchains, and research
- Provide technical mentorship and hands-on support to junior consultants
- Collaborate on AI governance, responsible AI practices, and enterprise integration
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, AI, or related field
- 8+ years of experience in AI/ML
- 5+ years as a Solution Architect
- 4+ years of hands-on development with LLMs and autonomous AI agents
- Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar
- Deep knowledge of LLMs, prompt engineering, agent memory, tool calling, and autonomous task execution
- Experience with pre-sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment
- Understanding of enterprise solutioning with AWS, Azure, or GCP, API integration, and data security best practices
- Exceptional communication and consulting skills
- Preferred: hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning
- Preferred: experience integrating AI agents into Salesforce, ServiceNow, SAP, or custom applications via APIs
- Preferred: understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems
Benefits
Comp & perks- Industry-leading compensation and benefits
- Top training and development opportunities
- Dedicated training and career paths
- Inclusive and entrepreneurial culture
- Global reach and opportunity to work with market-leading brands across sectors