Senior AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist clients in pinpointing areas where AI can generate measurable value.

• Develop practical AI roadmaps and oversee the implementation of effective, scalable solutions.

• Promote AI enablement throughout TriVista’s operations to enhance productivity, knowledge management, and service delivery.

• Aid in the creation and enhancement of AI offerings, delivery models, reusable assets, and go-to-market strategies.

• Participate in business development by scoping, developing solutions, preparing proposals, and engaging in client discussions.

• Provide thought leadership regarding AI trends, business applications, and adoption strategies.

• Counsel clients on AI strategy, prioritized use cases, operational models, and activation roadmaps.

• Facilitate client discussions and working sessions to link AI opportunities with business goals, risks, and measurable outcomes.

• Identify high-value use cases and assist clients from strategy formulation through implementation planning.

• Support TriVista’s two-day AI Workshop, which includes use-case discovery, prioritization, rapid solution development, and functional proofs of concept.

• Design and implement AI-enabled solutions that meet client requirements.

• Utilize best practices for AI solution delivery, governance, and quality assurance.

• Coordinate technical resources from internal teams, clients, and third parties.

• Assist in scoping, sizing, and estimating AI projects.

• Develop and sustain TriVista’s tools, templates, and methodologies.

• Execute internal initiatives that enhance firm capabilities.

• Identify and apply AI solutions to boost internal efficiency, knowledge management, and service delivery.

• Create internal AI tools, standards, and enablement programs.

• Foster firm-wide AI adoption through enablement, documentation, and hands-on implementation.

• Maintain regular communication with private equity investors, boards of directors, and corporate executives.

• Be prepared for up to 75% domestic and international travel.

• Perform additional duties and responsibilities as assigned.

⛳️ Requirements

• Over 5 years of relevant experience in technology, consulting, product development, startups, data, analytics, or AI.

• Minimum of 2 years in AI, machine learning, advanced analytics, or closely related fields.

• Proven experience in shaping AI strategies, leading implementations, or delivering applied data science solutions.

• Strong grasp of generative AI, machine learning, natural language processing, and creating business value.

• Familiarity with LLMs, retrieval augmented generation (RAG), modern AI solution architectures, and enterprise data environments.

• Experience with predictive AI pipelines, MLOps concepts, and the productionization of AI solutions in business contexts.

• Experience in coordinating cross-functional teams and technical resources.

• Excellent communication and presentation abilities, including simplifying complex technical concepts for executive and non-technical audiences.

• Experience in scoping, estimating, and structuring AI work at both strategic and project levels.

• Proficient in PowerPoint, Excel, and Word.

• Ability to collaborate across traditional business functions and comprehend business process impacts.

• Self-starter with strong initiative and drive.

• Exceptional client engagement, presentation, and written communication skills.

• Keen attention to detail and precision.

• Highly organized and capable of managing multiple priorities.

• Authorized to work in the U.S. on a full-time basis.

• A four-year degree in computer science, engineering, information systems, or a related field, or equivalent practical experience, including startup or entrepreneurial experience, and/or a combination of education and relevant experience.

• Lean and/or Six Sigma Certification, or the ability to obtain one after employment.

• Willingness to undertake up to 75% travel domestically and internationally.

• Background in management consulting, a startup, venture-backed company, or another highly client-facing environment is preferred.

• Experience contributing to new capabilities, service offerings, or consulting methodologies is preferred.

• Familiarity with Azure OpenAI, Microsoft Copilot, Databricks, Glean, or similar platforms is preferred.

• Experience in quickly translating business use cases into prototypes or proofs of concept is preferred.

• Familiarity with other analytical and data visualization tools such as R and Tableau is beneficial.

• An MBA or Master’s degree in a relevant field is preferred.

🏝️ Benefits

• Performance bonuses.

• Comprehensive benefits package.

• Great Place to Work Award culture.

• Continuous learning opportunities.

• Growth opportunities.

• Employees are eligible for performance bonuses.