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Senior AI Consultant

Cargill

Bengaluru, Karnataka, IndiaJobNo compensation foundPosted 1mo agoSeen in employer's feed 4 days ago
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At a glance

Compensation
No compensation found
Location
Bengaluru, Karnataka, India
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Cargill is hiring a Senior AI Consultant. The Senior AI Consultant will design, build, and scale generative-AI agents to automate and augment trading and analyst workflows. This role involves identifying high-value agentic use cases, evaluating new data sources and tools, and implementing reusable, well-governed agents. The consultant will act as a link between trading/analyst teams and the broader GenAI capability, ensuring agents are consistent, reliable, and token-efficient to generate strategic insights and grow trading earnings.

Key focus areas include Design, build, test and deploy GenAI agents and copilots for trading and analyst workflows., Validate quality and coverage of datasets and prioritize and implement data and analytical tool development efforts., and Establish and reuse consistent agent design patterns, components and standards..

Successful candidates bring Bachelor's Degree In Related Field Or Equivalent Experience, Knowledge Of Agricultural Trading Business, and Generative AI Application Development Experience. Important skills include Generative-AI Agents Design, Generative-AI Agents Build, Generative-AI Agents Scale, Prompting, Loops, and Tool Calling. Preferred (not required): Orchestration, Commodity Trading Markets Understanding, LLM-Powered Agents Building, and LLM-Powered Agents Deploying.

Skills & qualifications

RequiredNice to have

Skills

Generative-AI Agents DesignGenerative-AI Agents BuildGenerative-AI Agents ScalePromptingLoopsTool CallingFunction CallingOrchestrationAgricultural Trading Business KnowledgeInformation Value to TradingGenerative-AI Applications BuildingPrompt EngineeringRAGCommodity Trading Markets UnderstandingLLM-Powered Agents BuildingLLM-Powered Agents DeployingLangChainLangGraphMCPAnthropic ClaudeOpenAIAWS BedrockSnowflake CortexAgent EvaluationGuardrailsResponsible-AI PracticesTrading Workflows FamiliarityAnalyst Workflows FamiliarityWorkflow Redesign Around AI

Qualifications

Bachelor's Degree or Equivalent Experience2 Years Relevant Work Experience

Full job description

Job Purpose and Impact

The Senior AI Consultant will design, build and scale generative-AI agents that automate and augment trading and analyst workflows, generating strategic insights that promote the company's competitive position and ultimately grow trading earnings. In this role, you will partner across product lines to identify high-value agentic use cases, evaluate new data sources and tools, and implement reusable, well-governed agents and the interfaces around them. You will act as a link between trading / analyst teams and the broader GenAI capability, ensuring agents are consistent, reliable and token-efficient.

Key Accountabilities

  • Design, build, test and deploy GenAI agents and copilots for trading and analyst workflows (prompting, loops, tool / function calling, orchestration).

  • Validate quality and coverage of datasets and prioritize and implement generally defined data and analytical tool development efforts based on trading opportunity.

  • Establish and reuse consistent agent design patterns, components and standards to avoid duplicated effort, uneven quality and inefficient token usage.

  • Redesign workflows and processes around agents to maximize adoption, efficiency and measurable business impact.

  • Build evaluation, monitoring and guardrails for agents to ensure reliability, safety and responsible-AI compliance.

  • Create a culture of documenting best practices for building and using our core agent and GenAI platforms and capabilities, and upskill trading / analyst teams on using and building agents.

  • Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.

  • Other duties as assigned

Qualifications

MINIMUM QUALIFICATIONS

  • Bachelor's degree in a related field or equivalent experience

  • Knowledge of agricultural trading business and an understanding of the information that adds value to trading

  • Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

  • Demonstrated experience building generative-AI applications or agents (prompt engineering, RAG, tool / function calling) (must-have)

PREFERRED QUALIFICATIONS

  • Understanding of commodity trading markets

  • Hands-on experience building and deploying LLM-powered agents and copilots in production

  • Proficiency with agent frameworks and orchestration (e.g., LangChain / LangGraph, function calling, MCP)

  • Experience with major LLM platforms (Anthropic Claude, OpenAI, AWS Bedrock, , Snowflake Cortex,)

  • Experience with agent evaluation, guardrails and responsible-AI practices

  • Familiarity with trading or analyst workflows and how to redesign them around AI

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