Advisor, Artificial Intelligence

Location: Hybrid

Travel: Up to 50%

About the job

OakTruss Group is seeking an Advisor, Artificial Intelligence to support the design, development, and implementation of artificial intelligence solutions across client and internal initiatives. This role is well-suited for a junior-level professional who is not entry level and who brings hands-on technical experience, a strong engineering mindset, and the ability to contribute in both technical and advisory capacities.

In this role, you will help build scalable AI systems with a strong emphasis on large language models, data pipelines, and secure deployment architectures. You will contribute to technical delivery, collaborate with senior team members, and support the continued growth of AI capabilities across the organization.

Externally, you will engage with clients as a technical contributor and advisor, helping translate business needs into practical AI solutions. Internally, you will partner with leadership, PMO, and cross-functional teams to support AI-driven capabilities aligned with company strategy. This role will support client environments including financial services and healthcare, where security, privacy, risk, and compliance considerations are especially important.

Key responsibilities

Support the design and implementation of end-to-end AI systems, including data ingestion, model integration, orchestration layers, and user-facing applications
Assist in the development and deployment of LLM-based solutions, including retrieval-augmented generation, prompt engineering frameworks, and fine-tuning support
Build, manage, and optimize AI tools, APIs, and services in cloud and hybrid environments
Help ensure scalability, reliability, and security of AI systems across multiple environments
Follow established engineering best practices for AI development, testing, and deployment
Support assessments of existing AI systems for ethical alignment, bias, implementation risks, and governance gaps
Contribute to AI system design and implementation across projects
Provide technical input and support to engineering teams during solution development
Collaborate with senior team members on AI engineering, LLMs, and system design principles
Help bridge the gap between high-level strategy and hands-on technical execution
Support translation of client requirements into technical architectures and implementation plans
Participate in technical discussions with client stakeholders and engineering teams
Communicate AI concepts clearly to both technical and non-technical audiences
Support technical execution of AI-related engagements in alignment with Statements of Work
Help ensure timely delivery of technical solutions, documentation, and supporting materials
Collaborate with PMO and leadership to manage priorities, timelines, and deliverables
Identify and escalate technical risks across projects
Contribute to internal tools, accelerators, intellectual property, and internal knowledge sharing
Stay current on advancements in AI, LLMs, machine learning, and related technologies

Qualifications

Bachelor’s degree in computer science, engineering, artificial intelligence, data science, or a related technical field preferred
Master’s degree preferred, but not required
3+ years of professional experience, including:
2+ years in software engineering, systems engineering, platform engineering, or related technical roles
1+ years building, supporting, or deploying AI/ML systems
Exposure to LLMs or advanced AI systems in academic, professional, or applied environments
Consulting or client-facing experience preferred, but not required

Preferred technical experience

Solid understanding of how LLMs work at a macro level, including transformers, embeddings, training vs. inference, and model limitations
Hands-on experience supporting AI tools, applications, and infrastructure
Proficiency in Python and familiarity with frameworks such as TensorFlow, PyTorch, or similar
Familiarity with LLM tooling and ecosystems, including APIs, orchestration frameworks, and vector databases
Knowledge of cloud platforms such as AWS, Azure, and GCP
Familiarity with scalable deployment concepts such as containers, serverless environments, and microservices
Familiarity with data engineering concepts, including ETL pipelines and data governance
Understanding of security, privacy, and risk considerations in AI systems
Exposure to regulated or security-sensitive environments, including financial services and healthcare, is a plus

Professional attributes

Ability to contribute at both technical and advisory levels with growing credibility in each space
Strong collaboration skills and willingness to learn from senior team members
Strong communication skills with the ability to translate technical concepts into clear, actionable insights
Strong problem-solving and systems-thinking capabilities
High level of ownership, accountability, and attention to detail
Ability to work independently while contributing under guidance
Commitment to delivering high-quality, scalable, and secure solutions

Why join us

Opportunity to build experience at the intersection of AI, cybersecurity, and client advisory work
Exposure to meaningful work in financial services and healthcare environments
Collaborative partnership with experienced leaders and technical team members
Strong opportunity for growth in a fast-evolving area of technology

OakTruss Group

Vacatures

Artificial Intelligence Engineer