AI Consultant- MN-Onsite

Job Description

Minneapolis -Onsite

Job description below -

Will be instrumental in:

Defining and driving the strategic roadmap for AI and Generative AI adoption across the advisory and wealth management value chain

Identifying high-value AI/GenAI use cases aligned with business objectives and client needs

Establishing and guiding the end-to-end AI application lifecycle, from ideation and feasibility assessment to deployment and continuous improvement

Advising senior stakeholders on AI strategy, governance, and best practices to maximize business impact and ROI

Understand the client's business, workflows,

Identify opportunities where generative AI can bring value (e.g., customer support, content creation, automation).

Create an AI adoption roadmap or strategy.

familiarity with AI platforms and tools such as Amazon Bedrock, Microsoft Copilot Studio, OpenAI, and other leading AI frameworks

Choose the right models (GPT, LLaMA, Claude, etc.) and platforms (OpenAI, Azure, Hugging Face, etc.).

Decide whether to use pre-trained models, fine-tuned models, or build custom solutions.

Design workflows and user experiences around AI tool

Work with developers or act as a bridge between business and technical teams.

We want the candidate to have experience in GEN AI technologies like AWS, Azure, and Gemini. Please don't consider BERT as GEN AI.

At least one or two GEN AI project should in production.

They should have done consulting before. Not just development.we need specifically Gen AI experience, not just ML

Will combine your technical expertise with business acumen to:

Conduct strategic assessments of existing workflows and processes to identify opportunities for AI-driven enhancements

Provide thought leadership and strategic guidance on the integration of generative AI technologies, including LLMs, into advisory and wealth management operations

Collaborate closely with business leaders, product managers, and technical teams to ensure alignment of AI initiatives with strategic business goals

Develop frameworks and methodologies for evaluating AI solutions, measuring success, and ensuring responsible AI practices

The ideal candidate for this job should have:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Business Administration, or a related field

Strong understanding of advisory and wealth management domain processes, value chains, and business drivers

Proven experience in AI strategy consulting, including identifying, prioritizing, and implementing AI/GenAI use cases

Demonstrated ability to translate complex business challenges into actionable AI strategies and roadmaps

Exceptional analytical, problem-solving, and strategic thinking skills

Excellent communication, presentation, and stakeholder management skills, with the ability to influence senior executives and cross-functional teams

Comfort working in dynamic, agile environments with globally distributed teams

Natural curiosity and passion for emerging AI technologies and their practical business applications

Responsibilities in this job include (but are not limited to):

Leading strategic assessments to identify and prioritize AI/GenAI opportunities within advisory and wealth management workflows

Defining and communicating clear AI strategies, roadmaps, and implementation plans aligned with business objectives

Advising stakeholders on best practices, risks, and governance frameworks for responsible AI adoption

Collaborating with technical teams to ensure successful translation of strategic AI initiatives into practical, scalable solutions

Establishing metrics and KPIs to measure the effectiveness and business impact of AI implementations

Providing thought leadership, training, and knowledge sharing to build organizational AI capabilities and awareness

Required Technical Skills:

Strong understanding of generative AI technologies, including LLM capabilities, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) architectures

Familiarity with AI platforms and tools such as Amazon Bedrock, Microsoft Copilot Studio, OpenAI, and other leading AI frameworks

Knowledge of cloud computing principles, AI deployment patterns, and best practices for scalable, secure, and compliant AI solutions

Ability to evaluate and recommend appropriate AI technologies, frameworks, and architectures based on business requirements and constraints

Understanding of responsible AI practices, ethical considerations, and regulatory compliance in financial services

What we will look for in an ideal candidate:

Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Quantitative Finance or related fields

Proven track record in AI strategy consulting or advisory roles, ideally within financial services or wealth management domains

Preferred Additional Experience:

Direct experience in financial services, advisory & wealth management domain

Experience with strategic consulting methodologies, frameworks, and stakeholder engagement practices

Familiarity with data governance, privacy, and regulatory compliance considerations specific to financial services

Experience leading cross-functional teams and influencing senior stakeholders in complex organizational environments

Thought leadership demonstrated through publications, speaking engagements, or industry contributions in AI/GenAI topics

Full-time