Embed directly with business stakeholders to understand business problems, desired outcomes, and operational requirements.
Lead transformative solution engagements end-to-end, from problem definition and solution architecture through development, deployment, and measurable business outcomes.
Architect, engineer, and deploy AI-first solutions including LLM-powered agents, RAG pipelines, GenAI workflows, and intelligent automation.
Translate ambiguous strategic business problems into clear technical requirements, solution architectures, and actionable development plans.
Translate technical constraints and architectural considerations into business trade-offs that leadership can understand and act upon.
Build and deliver working prototypes rapidly, iterate directly with users, and prioritize solutions based on measurable business value.
Design and implement AI agents, multi-agent workflows, and intelligent automation solutions using modern AI technologies and frameworks.
Develop and integrate AI solutions with enterprise applications, data platforms, APIs, and business systems.
Apply domain expertise to challenge assumptions, validate business requirements, and establish credibility with business and technical stakeholders.
Identify opportunities to create repeatable solution patterns and playbooks that can be applied across business domains.
Work effectively in fast-moving and resource-constrained environments with limited oversight.
Communicate technical architectures, solution trade-offs, business outcomes, and recommendations to senior stakeholders.
Collaborate with engineering, data, product, architecture, and business teams throughout solution delivery.
Continuously evaluate emerging AI, ML, cloud, and software engineering technologies and apply relevant capabilities to enterprise solutions. Required Qualifications
12+ years of combined industry and technology experience with meaningful experience working within business or functional environments.
Functional expertise in at least one of the following domains: Finance/Banking, Supply Chain/Logistics, Manufacturing/Operations, or Commodities/Trading.
Demonstrated experience defining and driving business transformation initiatives and owning measurable outcomes.
Experience working directly with senior stakeholders and translating business strategy into technical execution.
Hands-on experience integrating Large Language Models such as OpenAI, Claude, or Gemini into enterprise solutions.
Strong experience with prompt engineering, Retrieval-Augmented Generation (RAG), AI agent design, and multi-agent orchestration.
Experience with AI frameworks such as LangChain, CrewAI, AutoGen, or similar technologies.
Understanding of LLM fine-tuning fundamentals.
Strong SQL and NoSQL experience, including data modeling and working with structured and unstructured enterprise data.
Experience designing data pipelines using ETL/ELT technologies.
Experience with business intelligence and analytics tools.
Proficiency with at least one major cloud platform, with Azure preferred and AWS or GCP acceptable.
Experience with Docker and Kubernetes.
Experience with API design and enterprise system integration.
Strong understanding of enterprise security fundamentals.
Strong hands-on Python development experience.
Proficiency in at least one additional programming language.
Experience with full-stack development when required to deliver business solutions.
Familiarity with enterprise platforms such as SAP, Salesforce, trading systems, ERP, CRM, or comparable domain-specific platforms.
Strong problem-solving skills and ability to make sound decisions in ambiguous and rapidly changing environments.
Excellent communication skills with the ability to communicate effectively with both technical and executive audiences.
Demonstrated ability to work independently, take ownership, and deliver outcomes in fast-paced environments. Preferred Qualifications
Experience operating in startup or resource-constrained environments.
Experience delivering AI-first solutions from concept through production deployment.
Experience building reusable AI solution patterns, frameworks, or playbooks across multiple business domains.
Experience working with enterprise AI governance, security, and responsible AI practices.
Experience working with cloud-native architectures and modern DevOps practices.

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Senior Forward Deployed Engineer