Consultant AI & Data Engineer

MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH

As the worlds leading change and transformation consultancy were helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.

Were seeking a Consultant AI & Data Engineer in our Atlanta GA office to help us take vision to value and create lasting impact. This role is also open to candidates in Dallas Denver and Portland.

SUMMARY

As a Consultant AI & Data Engineer you will design develop and deploy AI solutions that survive real client environments. That means navigating imperfect data complex workflows and leaders seeking confidence that AI solutions will be adopted and drive value.

This role is for an engineer with systems depth that can take AI from an interesting idea to practical operational tooling. Key areas include RAG document processing evaluations observability deployment and integration patterns.

You will be hands-on designing and delivering features and applications and serving as a technical voice in client conversations and with internal leadership.

YOU WILL

• Translate ambiguous business problems into AI solutions features and tools that clients can adopt deploy and maintain with confidence.
• Lead and facilitate discovery conversations and shape solution design alongside clients solution architects and delivery leads.
• Build RAG document AI and AI-enabled systems end-to-end ingestion chunking and layout decisions retrieval design vector and metadata schemas prompt and context engineering post-processing and evaluation.
• Define and run evaluation frameworks benchmark against industry datasets design reliability diagnostics and perform failure analysis to make decisions about models retrieval strategies and processing pipelines.
• Translate operational processes into structured andor agentic AI workflows designing human-in-the-loop and explainable escalation patterns for sensitive tasks where AIautomation alone is insufficient.
• Stand up the observability needed to trust a system in production including tracing output capture feedback loops and monitoring for performance degradation.
• Mentor junior engineers review their code and raise the technical bar of the team.
• Present work and facilitate decision making sessions with client stakeholders with clarity and confidence including PowerPoint presentations.
• IDEALLY WED LIKEWe are looking for demonstrated ability to design develop and deploy AI-enabled solutions. The ideal candidate can showcase delivery from concept through to production and provide evidence of strong stakeholder communication.Experience
• 1 years in AI or data science roles with 2 - 3 years in technical roles overall preferred.
• Bachelors degree in a computer science data science or relevant field or equivalent professional experience.
• Engineering fundamentals
• Writing-level proficiency in Python and SQL not just reading or generating code.
• Fluent use of AI coding tools with disciplined practices around trustworthy human-reviewed output.
• Working proficiency with data warehousing integrations APIs and software development
• Working command of Git Docker and CICD.
• AI engineering depth
• RAG fluency beyond top k you have designed retrieval strategies evaluated them understood tradeoffs and improvedmitigated them.
• Vector database experience at the schema-design level organization metadata hybrid retrieval and tradeoffs.
• Document processing across text images and tables with judgment for when to reach for which chunking layout or extraction approach.
• Experience designing evaluation frameworks and using them to drive decisions including production readiness and evidence-based improvements.
• Comfort with NoSQL stores document versioning and turning unstructured files into structured knowledge assets.
• Awareness of how data quality drift and edge cases break AI systems and the patterns to mitigate them in imperfect environments.
• Comfort with data cleansing transformation and normalization techniques including both structured and unstructured formats
• Delivery and consulting skills
• Background in client-facing or delivery-oriented work including interpreting stakeholder needs and delivered a working solution at the end.
• Strong communication skills and effective with PowerPoint to present technical work to both technical and non-technical stakeholders.
• Sound judgment in ambiguous problem spaces able to make sensible assumptions document them and revisit them as patterns emerge.
• Commitment to staying abreast of latest advancements in applied AI.
• Cloud
• Working exposure to at least one of Azure GCP or AWS.
• Nice to Have
• Experience with LangGraph LangChain or comparable agent frameworks.
• Graph databases and ontology design.
• MLNLP background is useful.
• Hands-on time in Databricks Snowflake or Salesforce ecosystems.
• Prior experience in consulting environment.
• Applicants must be authorized to work in the United States without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided either now or in the future for this position.North Highland is an equal opportunity employer and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race color sex gender identity religion national origin age sexual orientation disability veteran status or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.