AI Solutions Engineer

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Reporting to the Director of AI Strategy, you will prototype, launch, and scale user-facing agentic workflows and solutions that deliver measurable value across Conagra’s commercial organization. You will turn business use cases into working pilots, iterate with partners, and move the right solutions into production.

• Build and ship fast:
  Prototype, iterate, and take to production multi-step agentic workflows that solve real business tasks such as information gathering, trend synthesis, and opportunity sizing. Translate use cases into clear flows using platform building blocks and connectors and deliver grounded outputs with citations.
• Own the experience:
  Design prompts and task flows and create simple chat or UI surfaces where needed. Integrate results back into business systems. Write clean, maintainable code, and optimize application latency, reliability, and cost.
• Shape the build plan:
  Contribute to a practical generative AI backlog with AI Strategy, sequence work, and de-risk ideas with quick proofs before scaling.
• Ground outputs in data:
  Use retrieval over governed sources. Design prompts and simple checks so answers are accurate, attributable, and include citations.
• Validate and raise quality:
  Build simple evaluation tests for each task, monitor task success and citation coverage, catch hallucinations and data leakage, and fix regressions quickly.
• Partner with the platform team:
  Build reusable agentic solutions on shared tooling, maintain end-to-end observability with traces, logs, and metrics, and meet weekly with IT on a shared backlog to align priorities and shape the platform roadmap.
• Lead with code:
  Drive projects end to end. Write production-quality code, review pull requests, and set engineering standards.
• Partner to production:
  Work with Data Engineering, Platform Engineering, IT Enablement, and product and business partners to move pilots to scale with clear SLAs and handoffs.
• Document and enable reuse:
  Publish patterns, components, and starter projects so new pilots launch faster.
• Stay current and pragmatic:
  Track useful advances in Large Language Model (LLM) tooling and retrieval and adopt improvements that demonstrably help outcomes.

• 5+ years of experience.
• Education:
  
  Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field, or equivalent practical experience.
• Proven experience leading AI projects end to end with hands‑on software engineering and code development, from prototype to production.
• Proficiency in Python, SQL and at least one of Java, Type Script/JavaScript, or C# (.NET).
• Shipped at least one AI application that uses retrieval over enterprise data with citations.
• Hands‑on with agent frameworks such as Semantic Kernel, Lang Graph, or Lang Chain, composing tools and functions into multi-step workflows.
• Strong API design and system integration skills.
• Experience with embeddings and vector or hybrid search such as Azure AI Search, Elasticsearch or Open Search, FAISS, or Pinecone.
• Comfortable building lightweight UIs or simple chat experiences when needed.
• Solid engineering practices in testing, monitoring, reliability, and basic cost and latency optimization.
• Excellent analytical thinking, problem solving, communication, and cross‑functional collaboration.

Number of Days in Office: 3

Pay Range: $81,000-$118,000

The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

• Health:
  Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Wealth:
  Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
• Growth:
  Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
• Balance:
  Paid-time off, parental leave, flexible work-schedules (subject to…