What impact will you make
As an AI Agent Builder you will design and develop intelligent autonomous workflows that solve complex business problems. Youll work on enterprise AI projects collaborating with senior architects and technical teams to translate business requirements into production-ready AI agents. Youll focus on understanding how AI should be applied: choosing the right patterns architectures and frameworks and implementing them effectively. Under the guidance of experienced mentors youll master agentic AI design patterns workflow orchestration LLM integration strategies and production deployment practices. You take ownership of agent development for well-defined use cases collaborate with senior architects and engineers and contribute to solutions that directly impact business outcomes and that achieve user adoption.
Youll be part of a team developing and rolling out enterprise AI agent capabilities across our organization. Your work will directly impact adoption rates user satisfaction and business outcomes across multiple business units and client engagements.
How do you do this
- Translate business requirements into AI workflows: Work with clients and stakeholders to understand their challenges and design agentic AI solutions that address real business needs
- Architect data and information flows: Determine how AI systems should access and use data
- Define AI interaction strategies: Design how users and systems will interact with AI agents including prompting strategies and feedback loops
- Implement and test AI workflows: Build and validate agents using enterprise frameworks and tools
- Deploy agents to production environments: Ensure agents meet production quality standards and performance requirements
- Gather user feedback and iterate: Collect feedback from users and continuously improve AI workflow designs
- Learn from experienced architects: Understand how to match business problems to AI patterns
Whats in it for you
- Learn from the best: Work alongside experienced GenAI architects and senior developers who are passionate about mentoring. Access training on agentic AI patterns best practices and emerging technologies.
- Rapid growth: Clear path to senior AI solution designer including active coaching for support
- Latest technology: Access to cutting-edge AI tools frameworks and platforms
- Flexibility: Flexible work arrangements (32 hours to 40 hours)
- Professional development: Learning budget certifications and training opportunities
- Become an expert in agentic AI: Deep expertise in autonomous AI systems is highly valued in the market
- Shape the future of AI: Your implementations influence how we utilize AI to transform the way we work
- Inclusive culture: Collaborative diverse and supportive team environment
Qualifications :
Who are you
- 0-2 years of professional or academic experience with AI/ML concepts or software engineering background with AI / ML self-study. Comfortable with Python or similar languages for implementing workflows and integrations.
- Strong analytical and problem-solving skills: You can break down complex business problems
- Familiarity with AI frameworks: You understand their purpose and when to use them
- Understanding of AI workflow concepts: You know what agents are and how they differ from traditional AI
- Familiarity with prompt engineering best practices: You craft concise contextrich prompts iterate and evaluate outputs and apply constraints/guardrails for accuracy and safety.
- Eager to learn and experiment with new AI patterns and architectures
- Excellent communication skills: You can explain technical concepts to non-technical stakeholders. You are proactive about sharing knowledge and learning from others.
- Collaborative mindset: You enjoy working in cross-functional teams
- Fluency in English
Nice-to-haves
- Experience with Azure OpenAI or similar LLM platforms
- Experience with API integration and data workflows
- Relevant certifications (AI Fundamentals Prompt Engineering)
- Contributions to AI/ML communities or open-source projects
- Understanding of evaluation frameworks for AI systems
Additional Information :
Remote Work :
No
Employment Type :
Full-time
What impact will you makeAs an AI Agent Builder you will design and develop intelligent autonomous workflows that solve complex business problems. Youll work on enterprise AI projects collaborating with senior architects and technical teams to translate business requirements into production-ready AI...
What impact will you make
As an AI Agent Builder you will design and develop intelligent autonomous workflows that solve complex business problems. Youll work on enterprise AI projects collaborating with senior architects and technical teams to translate business requirements into production-ready AI agents. Youll focus on understanding how AI should be applied: choosing the right patterns architectures and frameworks and implementing them effectively. Under the guidance of experienced mentors youll master agentic AI design patterns workflow orchestration LLM integration strategies and production deployment practices. You take ownership of agent development for well-defined use cases collaborate with senior architects and engineers and contribute to solutions that directly impact business outcomes and that achieve user adoption.
Youll be part of a team developing and rolling out enterprise AI agent capabilities across our organization. Your work will directly impact adoption rates user satisfaction and business outcomes across multiple business units and client engagements.
How do you do this
- Translate business requirements into AI workflows: Work with clients and stakeholders to understand their challenges and design agentic AI solutions that address real business needs
- Architect data and information flows: Determine how AI systems should access and use data
- Define AI interaction strategies: Design how users and systems will interact with AI agents including prompting strategies and feedback loops
- Implement and test AI workflows: Build and validate agents using enterprise frameworks and tools
- Deploy agents to production environments: Ensure agents meet production quality standards and performance requirements
- Gather user feedback and iterate: Collect feedback from users and continuously improve AI workflow designs
- Learn from experienced architects: Understand how to match business problems to AI patterns
Whats in it for you
- Learn from the best: Work alongside experienced GenAI architects and senior developers who are passionate about mentoring. Access training on agentic AI patterns best practices and emerging technologies.
- Rapid growth: Clear path to senior AI solution designer including active coaching for support
- Latest technology: Access to cutting-edge AI tools frameworks and platforms
- Flexibility: Flexible work arrangements (32 hours to 40 hours)
- Professional development: Learning budget certifications and training opportunities
- Become an expert in agentic AI: Deep expertise in autonomous AI systems is highly valued in the market
- Shape the future of AI: Your implementations influence how we utilize AI to transform the way we work
- Inclusive culture: Collaborative diverse and supportive team environment
Qualifications :
Who are you
- 0-2 years of professional or academic experience with AI/ML concepts or software engineering background with AI / ML self-study. Comfortable with Python or similar languages for implementing workflows and integrations.
- Strong analytical and problem-solving skills: You can break down complex business problems
- Familiarity with AI frameworks: You understand their purpose and when to use them
- Understanding of AI workflow concepts: You know what agents are and how they differ from traditional AI
- Familiarity with prompt engineering best practices: You craft concise contextrich prompts iterate and evaluate outputs and apply constraints/guardrails for accuracy and safety.
- Eager to learn and experiment with new AI patterns and architectures
- Excellent communication skills: You can explain technical concepts to non-technical stakeholders. You are proactive about sharing knowledge and learning from others.
- Collaborative mindset: You enjoy working in cross-functional teams
- Fluency in English
Nice-to-haves
- Experience with Azure OpenAI or similar LLM platforms
- Experience with API integration and data workflows
- Relevant certifications (AI Fundamentals Prompt Engineering)
- Contributions to AI/ML communities or open-source projects
- Understanding of evaluation frameworks for AI systems
Additional Information :
Remote Work :
No
Employment Type :
Full-time
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