AI/ML Engineer - Consultant or Senior Consultant Please note:This role isnoteligiblefor100% remotework. Employees must currently live/reside within a commutable distance from Minneapolis or St. Paul, MN and must be willing to be onsite at the client and/or Slalom office when needed. Who You'll Work With As a modern technology company, our Slalom technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.Slalom's Data AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop novel AI solutions, and work with our technology partners to push their products into the future. What You'll Do Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems. Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc. Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development. Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge. Design and deliver LLM-enabled applications (RAG, tool/function calling, structured outputs) that solve client problems in finance and operations. Build document intelligence pipelines for financial documents (invoices, statements, contracts, tickets), including ingestion, OCR/layout extraction where needed, entity extraction, normalization, and quality checks. Develop and deploy anomaly detection solutions for financial datasets (transactions, journals, reconciliations, forecasts), using statistical, ML, and/or deep learning approaches; define thresholds, alerting, and feedback loops. Implement agentic workflows that safely orchestrate multi-step tasks (e.g., triage - retrieve - reason - propose action - human approval - execute), with auditability and clear handoffs. Integrate AI solutions into enterprise ecosystems (APIs, data platforms, ERPs/work management tools), partnering with client security, data, and architecture teams. Establish LLMOps/MLOps practices: evaluation harnesses, prompt/model versioning, test automation, monitoring/observability, cost/performance tuning, and rollback strategies. What You'll Bring 3-6 years of experience implementing models or machine learning algorithms into production 1-3 years of professional Managed or IT Professional consulting experience. Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders. Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions. Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure) Hands-on experience with RAG, agentic workflows, fine tuning, or other LLM-based techniques. Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls. Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation. Strong Python for ML/AI (e.g., data wrangling, model development, APIs, testing); solid SQL and data modeling fundamentals. Hands-on GenAI experience: RAG, prompt engineering, embeddings/vector search, function/tool calling, agentic orchestration, and/or fine-tuning. Experience with information extraction / entity extraction (e.g., NER, structured extraction from unstructured text, classification, normalization, confidence scoring). Experience designing ML/AI systems with production considerations: reliability, latency, cost, observability, privacy/security, and safe failure modes. Nice to have: Experience in a sales support role, within Data Science, Machine Learning, or AI. Familiarity with leading data platforms like Databricks and Snowflake, and their basic services. Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions. Finance operations domain familiarity: AP/AR, GL, close processes, reconciliations, audit controls, exception handling. Workflow/process automation experience (workflow orchestration, ticketing integration, RPA-style automation, human approval steps). Experience with containers and deployment patterns (Docker/Kubernetes), CI/CD, IaC, and cloud-native ML services. Skillset / Tech Stack LLM applications: RAG, embeddings, structured extraction, tool/function calling, agentic workflows NLP / Entity extraction: NER, classification, taxonomy mapping, normalization, confidence scoring, evaluation datasets Anomaly detection: outlier detection, time-series anomaly detection, alerting/triage pipelines, feedback loops Process automation: workflow orchestration, human-in-the-loop approvals, audit logging, integration with enterprise systems * Engineering: Python, APIs, testing, CI/CD, observability/monitoring, secure deployment on AWS/Azure/GCP About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range at the Consultant level is $106,000 to $133,000 and for a Senior Consultant level $133,000 to $166,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any ti To view the full job description please use the link below. https://jobs.slalom.com/#/post/a0hPh000004wpFxIAI Apply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjU2MTg0LjEwNTA2QHNsYWxvbWNvbXAuYXBsaXRyYWsuY29t
