Our client is establishing a central Enterprise AI Office to enable Artificial Intelligence adoption across its diversified portfolio of businesses. The organisation is focused on integrating market-leading AI platforms and intelligent automation solutions to improve operational performance, enhance customer experience, and increase workforce productivity across all subsidiaries.

The Role

Reporting to the Chief Artificial Intelligence Officer, the Director of AI Solutions & Intelligent Automation will lead the identification, evaluation, implementation, and optimisation of enterprise AI solutions across the Group.

Rather than developing AI technologies internally, the role will oversee the deployment of commercial AI platforms including Microsoft Copilot, OpenAI Enterprise, SAP Joule, Salesforce Einstein, Oracle AI, UiPath, and other intelligent automation solutions that align with business requirements.

The Director will work closely with subsidiary leadership teams to identify automation opportunities, redesign business processes, coordinate solution implementation with technology partners, and ensure successful adoption across multiple business sectors.

The role will also establish implementation standards, vendor governance, solution architecture principles, and performance metrics to maximise return on AI investments.

Candidate Profile

Candidates should possess extensive experience leading enterprise technology implementation, intelligent automation, digital transformation, or business technology programmes.

Strong knowledge of enterprise AI platforms, process automation, vendor management, cloud technologies, and enterprise application integration is essential.

Experience working across multiple industries and managing complex technology transformation programmes within large organisations is highly desirable.

Location: Lagos state

Employment Type: Full time

Responsibilities

Lead the development and deployment of Machine Learning models and systems.

Develop prototypes for future play experiences and integrate solutions into products.

Design and build Generative AI pipelines and infrastructure on cloud platforms such as AWS, Google Cloud, and Azure

Conduct extensive data analysis and prepare high-quality data for Generative AI models

Evaluate and refine Generative AI models to achieve optimal performance and accuracy

Collaborate with stakeholders to identify and implement AI solutions that drive value.

Stay updated on the latest Machine Learning technologies and tools.

Develop Python code and interfaces (APIs and services) for effective platform architecture and scalability.

Requirement A Degree in Computer Science, Artificial Intelligence, or a related field

5+ years of experience in building Machine Learning models and delivering high-quality solutions.

Experience with cloud-based AI services (e.g., AWS, Azure, Google Cloud).

Experience with Graph Machine Learning and applying methods for classification, prediction, and generation tasks.

In-depth knowledge of generative AI methods and the ability to adapt them to custom datasets and domains.

Proficiency in Python programming and familiarity with common software development tools.

Understanding of AI behavioral techniques.

Application Closing Date

30th April, 2024.

How to Apply

Interested and qualified candidates should send their Resume to: jobs@choicetalents.com.ng using the Job Title as the subject of the mail.

Data Scientist (AI / Machine Learning)

Company: AI startup company

Location: Kuala Lumpur — On-site / Hybrid

Job Type: Full-time, Permanent

Level: Senior Specialist (5+ years)

About the Company The company is a Malaysian sovereign AI company building economic and intelligence products for government, regulators, financial institutions, and enterprise clients across Malaysia and ASEAN. We turn alternative data — satellite imagery, geolocation, text, financial, and macroeconomic data — into nowcasting models, indicators, and decision products.

We're hiring our foundation team. This is a rare chance to join early, work directly with the Head of AI, and shape how AI is built and deployed for the region from day one.

The Role

We're looking for an experienced Data Scientist to design, build, and validate production-grade models that extract real signals from complex data. You'll own models end-to-end — from research and design through validation, documentation, and production readiness — and translate them into indicators and products clients can trust.

We're recruiting across three specialisation tracks. Tell us which fits you best when you apply:

• Computer Vision / Geolocation — satellite imagery analytics, asset detection, activity inference, and geospatial intelligence for strategic sectors.

• NLP / Text Analytics — multilingual models for macro sentiment, supply-chain risk, geopolitical and regulatory signals, with a focus on Bahasa Malaysia and ASEAN languages.

• Econometrics / Macro — macroeconomic nowcasting and quantitative indicators for GDP, inflation, trade, labour, and regional growth.

What You'll Do

• Design, build, and validate models in your specialisation area, taking them from concept to production or validated pilot.

• Calibrate and validate models against ground truth, official statistics, and real-world outcomes — and communicate uncertainty and limitations clearly.

• Work closely with Data Engineering to source, clean, and structure datasets, and with Product and Delivery teams to turn models into client-ready indicators and dashboards.

• Contribute to composite indicators by integrating signals across computer vision, NLP, and econometric workstreams.

• Document model assumptions, accuracy, reproducibility, and production readiness to a standard suitable for government, regulator, and Board-level review.

What We're Looking For

• 5+ years of applied experience in data science, machine learning, or quantitative research (relevant to your chosen track).

• Strong Python (or R for econometrics), with solid model design, validation, and experiment-tracking discipline.

• Track-specific depth:

• CV / Geolocation: PyTorch/TensorFlow, GeoPandas, GDAL, QGIS, raster/vector and satellite imagery workflows (Sentinel, Landsat, commercial imagery, mobility data).

• NLP: transformers, Hugging Face, embeddings, classification/extraction, and evaluation; multilingual / ASEAN-language experience highly valued.

• Econometrics: time-series analysis, nowcasting, forecasting, and model validation; experience with economic, central-bank, or financial data.

• A clear communicator who can explain technical findings to non-technical, business, and policy stakeholders.

• Strong documentation habits and a commitment to reproducible, well-governed models.

Nice to Have

• Masters or PhD in a relevant field (Computer Science, Statistics, Econometrics, Economics, Finance, Data Science, or related) — strong applied experience can substitute.

• Experience with alternative data, government or policy analytics, financial services, or regulated/critical environments.

• Exposure to building data products, indicators, or dashboards for real clients.

Why Join Us

• Foundation-team impact — your work sets the standard as we grow.

• Meaningful problems — sovereign-grade AI applied to real economic and policy decisions across Malaysia and ASEAN.

• Direct access — work alongside the Head of AI and a lean, senior team.

• Growth — clear path to deepen your specialisation and develop into leadership as the company scales.

How to Apply

Submit your CV and a short note telling us which track you're applying for (Computer Vision / Geolocation, NLP / Text Analytics, or Econometrics / Macro) and one model or project you're proud of. Only shortliste

Our client is a top tier international investment management firm. The Head of Software Development is seeking a business-facing AI Consultant to identify and deliver AI-enabled improvements across investment and operational workflows.

This role focuses on understanding user needs, documenting current and target processes, defining requirements and success metrics, and guiding stakeholders on how to use approved AI tools effectively. You will also translate prioritized use cases into delivery-ready specifications and work with engineering and platform teams to turn prototypes or AI outputs into secure, controlled, production solutions

Key Responsibilities

• Engage investment and operational stakeholders to understand business objectives, workflow challenges, and control requirements.

• Run workshops and produce clear documentation, including problem statements, process maps, user journeys, user stories, acceptance criteria, and success metrics.

• Identify and prioritize AI use cases based on business value, feasibility, data sensitivity, and operational risk.

• Define target-state AI-enabled workflows, including human review points, required integrations, control requirements, and testing criteria.

• Translate prioritized use cases into build-ready specifications for engineering, data, and platform teams.

• Coordinate delivery from concept to pilot to rollout, including milestones, dependencies, RAID logs, stakeholder communication, UAT, documentation, and training.

• Support AI tool adoption by coaching users on effective prompting, validation, output review, and safe usage practices.

• Partner with Risk, Compliance, Legal, and Information Security to ensure governance requirements are embedded into solution design.

• Track impact such as time saved, cycle-time reduction, improved consistency, error reduction, and adoption outcomes.

Qualifications

• Around 6+ years of experience in business analysis, technology consulting, solution delivery, or AI/data transformation.

• Strong ability to engage senior business users, facilitate workshops, understand workflows, and translate business needs into clear requirements.

• Practical understanding of AI/LLMs and adoption considerations, including prompting, output validation, model limitations, data leakage risk, prompt injection, human oversight, and governance.

• Experience working with technology, data, engineering, or platform teams to deliver workflow, automation, data, or AI-enabled solutions.

• Strong documentation skills, including process mapping, user stories, acceptance criteria, functional requirements, and success metrics.

• Experience in financial services is preferred; exposure to asset management, private markets, investment research, portfolio monitoring, or investment operations would be highly advantageous.

• Excellent communication skills

Please apply and attach your resume if you are interested.

Job Summary We are seeking a highly motivated and experienced Senior AI & Data Presales Lead to drive presales engagements for AI, Data Analytics, Machine Learning, Business Intelligence, and Digital Transformation solutions. The ideal candidate will work closely with customers, sales teams, and technical experts to understand business challenges, design innovative AI and data-driven solutions, and support the complete presales lifecycle.Key ResponsibilitiesPresales & Solution ConsultingLead presales activities for AI, Data, Analytics, and Digital Transformation opportunities.Engage with customers to understand business requirements, pain points, and strategic objectives.Conduct discovery workshops, requirement-gathering sessions, and solution presentations.Translate business requirements into technical solution architectures and value propositions.Prepare and deliver compelling demonstrations, proof of concepts (POCs), and solution presentations.AI & Data Solution DesignDesign end-to-end AI, Machine Learning, Data Analytics, Data Engineering, Data Governance, and Business Intelligence solutions.Recommend appropriate technologies, platforms, and implementation approaches.Develop solution architectures leveraging cloud platforms, data platforms, and AI technologies.Support customers in defining AI adoption strategies and data transformation roadmaps.Proposal & Bid ManagementLead the preparation of technical proposals, RFP/RFQ responses, and Statements of Work (SOWs).Develop effort estimations, solution documentation, and pricing inputs.Collaborate with delivery teams to ensure solution feasibility and successful project transition.Stakeholder ManagementWork closely with sales, delivery, technology partners, and customer stakeholders.Build strong relationships with customers and act as a trusted advisor for AI and data initiatives.Support business development activities and identify opportunities for cross-selling and upselling.Market & Technology AwarenessStay updated on emerging trends in Artificial Intelligence, Generative AI, Machine Learning, Data Science, Data Engineering, and Analytics.Monitor competitor offerings and industry best practices.Contribute to developing reusable solution accelerators and presales assets. Minimum 5+ years of experience in Presales, Solution Consulting, Data Analytics, AI, or Digital Transformation roles.Strong understanding of:Artificial Intelligence (AI) and Generative AIMachine Learning and Predictive AnalyticsData Engineering and Data WarehousingData Governance and Data ManagementBusiness Intelligence and ReportingCloud Platforms (Azure, AWS, or GCP)Experience preparing and presenting technical proposals and solution architectures.Strong client-facing, presentation, and stakeholder management skills.Experience conducting workshops, solution demonstrations, and executive presentations.Ability to translate business requirements into technical solutions.Preferred QualificationsBachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.Relevant certifications in AI, Data Analytics, Cloud Technologies, or Data Platforms are preferred.Experience with tools and platforms such as:Microsoft Azure AI & Data ServicesAWS AI/ML ServicesGoogle Cloud AI PlatformPower BI, Tableau, QlikDatabricksSnowflakeMicrosoft FabricPython, SQL, and Data Analytics toolsKey CompetenciesPresales LeadershipSolution ArchitectureAI & Data StrategyCustomer EngagementProposal ManagementBusiness AcumenPresentation & Communication SkillsAnalytical ThinkingProblem SolvingStakeholder Management

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?

Watch Our Story:' https://www.hdrinc.com/our-story'

Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.

We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world.

Primary Role:

The Applied Data Scientist – AI Enablement is a high-impact individual contributor role focused on building internal AI capabilities and removing systemic constraints that limit HDR’s ability to scale artificial intelligence across the Transportation Business Group. In the initial phase, this role is primarily internally focused, developing AI solutions, improving data and technology foundations, and identifying bottlenecks in systems, processes, and tooling. As internal capabilities mature, the role will progressively transition to client-facing AI delivery and advisory work, leveraging internally proven solutions as repeatable services.

Utilization Expectations:

• 40% Internal AI solution development

• 40% Client AI delivery and pilot engagements (as capabilities mature) (0% year 1)

• 20% Skill development and continuous learning

Primary Responsibilities:

Internal AI Capability Development:

• Design, develop, and deploy AI solutions addressing internal transportation business needs (e.g., document intelligence, predictive analytics, copilots, workflow automation).

• Build reusable AI components, data pipelines, and workflows that can be scaled for future client delivery

• Manage full model lifecycle including development, deployment, monitoring, drift detection, retraining, and inference.

Constraint & Bottleneck Identification:

• Proactively identify limitations in data availability, system integration, tooling, governance, and processes that inhibit AI adoption.

• Partner with IT, data architects, and business stakeholders to recommend scalable improvements.

• Document technical debt and architectural gaps that must be addressed before scaling AI capacity.

Collaboration & Communication:

• Collaborate with cross-functional stakeholders to translate ambiguous problems into structured AI solutions.

• Communicate AI concepts clearly to both technical and non-technical audiences.

Future Client-Facing Work:

• Support client pursuits and pilot projects using internally developed AI capabilities.

• Contribute to the evolution of repeatable AI services and offerings.

Note: This is not an exhaustive list. This role requires flexibility to perform other duties as required.

Preferred Qualifications:

• Bachelor’s degree in a closely related field or equivalent combination of education and experience.

• Experience with generative AI and modern AI services.

• Hands-on experience developing, deploying, and maintaining data and AI solutions in cloud environments (e.g., Azure, AWS, or GCP), including cloud-native data pipelines, scalable compute, and production model deployment.

• Experience managing end-to-end data science projects and model lifecycles.

• Strong analytical, organizational, and communication skills.

• Advanced Degree

• Experience designing or improving data pipelines and AI infrastructure.

• Consulting or professional services experience.

• Six Sigma or other process improvement certifications.

Required Qualifications

• A degree in a closely related field or combination of education and relevant experience

• A minimum of 3 years experience with data engineering tools and languages such as SQL, Power Query, and Pandas

• A minimum of 3 years experience with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib

• A minimum of 3 years experience with data science languages such as Python and R

• Self-motivated, detail-oriented professional, ability to multitask a must

• Proficiency with MS Office including Word and Outlook

• Ability to handle confidential information

• Excellent writing and people skills

• Strong math and organizational skills

• Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment

• Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills

• An attitude and commitment to being an active participant of our employee-owned culture is a must

• In-depth knowledge of machine learning algorithms, statistical models, and data analytics

• Experience completing multiple data science projects

What We Believe

HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.

Our Commitment

As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.

Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) US Locations: $123,785 - $210,787 Primary Location:United States-Nebraska-Omaha Other Locations:United States-Texas-Round Rock, United States-North Carolina-Charlotte, United States-Florida-Doral, United States-Wyoming-Cheyenne, United States-California-Long Beach, United States-Minnesota-Saint Louis Park, United States-Florida-Fort Lauderdale, United States-West Virginia-Weirton, United States-Oregon-Salem, United States-Maryland-Baltimore, United States-Texas-Fort Worth, United States-Montana-Missoula, United States-District of Columbia-Washington DC, United States-Texas-Houston, United States-California-Irvine, United States-Wisconsin-Madison, United States-Florida-Tallahassee, United States-Mississippi-Jackson area, United States-Nevada-Reno, United States-Iowa-Des Moines, United States-Oregon-Portland, United States-Montana-Bozeman, United States-Texas-El Paso, United States-Texas-Corpus Christi, United States-Washington-Seattle, United States-Nevada-Las Vegas, United States-Montana-Billings, United States-Texas-Dallas, United States-Montana-Helena, United States-Washington-Spokane, United States-Iowa-Cedar Rapids, United States-Michigan-Grand Rapids, United States-Texas-Austin, United States-Louisiana-Metairie, United States-Virginia-Virginia Beach, United States-Massachusetts-Boston, United States-Colorado-Denver, United States-Iowa-Ames, United States-Oregon-Bend, United States-Missouri-St Louis, United States-Arizona-Tucson, United States-Washington-Vancouver, United States-Colorado-Colorado Springs, United States-Louisiana-Lafayette, United States-Hawaii-Honolulu, United States-Oklahoma-Tulsa, United States-Arizona-Phoenix, United States-Kentucky-Louisville, United States-Georgia-Atlanta, United States-Illinois-Rosemont, United States-California-Walnut Creek, United States-Tennessee-Memphis, United States-Montana-Kalispell, United States-Louisiana-Baton Rouge, United States-Virginia-Richmond, United States-Tennessee-Brentwood, United States-Ohio-Cleveland, United States-Florida-Tampa, United States-Ohio-Columbus, United States-Kentucky-Lexington, United States-Ohio-Cincinnati, United States-Washington-Bellevue, United States-Missouri-Kansas City, United States-South Dakota-Sioux Falls, United States-Alabama-Mobile, United States-Tennessee-Nashville, United States-New Jersey-Newark, United States-Kentucky-Paducah, United States-New Mexico-Albuquerque, United States-New York-White Plains, United States-South Carolina-Charleston, United States-South Carolina-Columbia, United States-Virginia-Vienna, United States-Florida-Orlando, United States-Alaska-Anchorage, United States-Minnesota-Minneapolis, United States-Indiana-Indianapolis, United States-Pennsylvania-Pittsburgh, United States-Wyoming-Lander, United States-California-San Diego, United States-Michigan-Lansing, United States-Pennsylvania-Philadelphia, United States-Nebraska-Lincoln, United States-Montana-Butte, United States-New Jersey-Pennington, United States-California-Sacramento, United States-Connecticut-Rocky Hill, United States-New York-New York, United States-Michigan-Ann Arbor, United States-Utah-Salt Lake City, United States-North Carolina-Winston-Salem, United States-Michigan-Detroit, United States-North Dakota-Bismarck, United States-Maine-Portland, United States-North Dakota-Fargo, United States-Illinois-Chicago, United States-California-Los Angeles, United States-Wyoming-Gillette, United States-Idaho-Boise, United States-North Carolina-Raleigh, United States-Texas-San Antonio Industry:Highway + Road Schedule:Full-time Employee Status:Regular BusinessClass:Data and Automation Job Posting:Jun 24, 2026

At HDR, we are committed to the principles of employment equity. We are an Affirmative Action and Equal Opportunity Employer (https://www.hdrinc.com/equal-employment-opportunity-employer). We consider all qualified applicants, regardless of criminal histories, arrest and conviction records.

Description

Python AI Engineer

Need to be Holder

DFW or Atlanta based, be able to go onsite for an interview/pick up laptop

Major preference for people you’ve known or worked with previously, will be more picky with others.

Position Summary: The Python AI Engineer will be responsible for building AI workflows with LangChain and OpenAI, orchestrating large language models (LLMs), and implementing low-latency systems for real-time data processing. The role focuses on applications hosted on Azure cloud with Kubernetes infrastructure, managing distributed systems, and transitioning CI/CD pipelines from Azure DevOps to GitHub Actions. The position also involves monitoring systems, handling transcript data streaming from Kafka platforms, and collaborating with care agents to address customer issues.

What the right candidate will enjoy:

Working on cutting-edge AI workflows and LLM orchestration.

Collaborating with a dedicated team of data scientists and frontend developers.

Opportunities to implement innovative solutions for real-time data processing.

What type of experience does the right candidate have:

Strong expertise in Python, including frameworks like FastAPI.

Proficiency in Azure cloud services and Kubernetes infrastructure.

Experience with CI/CD pipelines, particularly GitHub Actions.

Knowledge of distributed systems, high concurrency, and multithreading.

Familiarity with PostgreSQL, Kafka, and Helm charts.

Ability to monitor systems effectively and manage orchestration requests.

What the responsibilities are of the right candidate:

Develop and implement AI workflows with LangChain and OpenAI.

Handle orchestration and management of distributed systems.

Transition CI/CD pipelines from Azure DevOps to GitHub Actions.

Monitor and optimize low-latency systems for real-time data processing.

Collaborate with care agents to address customer issues effectively.

Stream transcript data from Kafka platforms and integrate with core system

The mission, and the wedge

US commercial real estate is a $26 trillion asset class, and the financial brain that runs it is a patchwork of 1990s ERPs, email, and Excel. We’re building its replacement: the intelligence layer that will eventually power how every property fund accounts, reports, and decides.

We’re starting where the pain is sharpest: the close. Real estate funds managing billions run their books across property ERPs (Yardi, MRI, AppFolio, JDE, RealPage) and close them in Excel, by hand, every month. A single misplaced cent can blow up an audit. We automate that close: AI agents that extract, draft, and reconcile, checked by a deterministic engine that proves every number to the cent, with an audit trail back to source. The agents propose. The engine proves.

It’s $25B+ of annual finance-and-accounting spend that modern AI hasn’t touched, and we have early enterprise engagements pulling us forward. Nobody has built this before, which means there’s no playbook, no Stack Overflow answer, no senior person to ask. That’s the job.

Why “Scratch Engineer”

Because that’s the actual work. You’re joining a small team of builders where everything is still version one: the schema, the accounting engine, the agent architecture, the deployment pipeline. Nothing is legacy. Nothing is decided that can’t be revisited. The systems you write in your first months will be the foundation that billions of dollars eventually flow through, and you’ll live with your own decisions, the brilliant ones and the ones you’ll rewrite at 11pm.

If you’ve spent your career inheriting other people’s architecture and wondering what you’d do differently from a blank page: this is the blank page.

What this actually looks like

• Week one, you ship. Greenfield codebase, real problems, no committee. Your code doesn’t get reviewed into oblivion. It gets used.

• You’ll make architecture calls with incomplete information, and some of them will be wrong. We care that you notice fast and fix faster.

• Some weeks you’ll design a clean abstraction for waterfall calculations. Other weeks you’ll write a gloriously ugly script at 11pm because a demo is tomorrow.

• You’ll use AI as leverage everywhere: Cursor, Claude, whatever shipped last Tuesday. If you’re not 3x faster than you were two years ago, this isn’t the place.

Here’s the interesting part about our customers

They won’t tell you what to build. Ask a fund accountant about their pain points and they’ll say Excel works fine, because they’ve spent ten years getting fast at a process that shouldn’t exist. The pain is invisible to the people living in it.

So discovery here doesn’t look like user interviews. It looks like watching a highly paid professional copy-paste across three monitors for twenty minutes, seeing what they can’t see, and building the prototype that makes the future undeniable. When a controller watches your demo and says “there’s no way this handles our waterfall structures,” that objection is your roadmap, and proving them wrong is the most satisfying work in this company.

If you need customers to hand you a spec, this will frustrate you. If you want your judgment to be the spec, this is the role.

Who thrives here

• You’ve built things end to end: products, side projects, something at a startup where you were the team. We don’t care if that took you two years or ten, or where (or whether) you went to college.

• You know when to architect and when to hack, and you’ve felt the pain of getting that wrong both ways.

• Ambiguity energizes you. “Figure it out” is a complete spec.

• You’re allergic to “that’s not my job.” Frontend, backend, data pipelines, prompts, demos: you go wherever the problem is.

• Precision matters to you. We work with money. “Mostly right” is wrong.

Who doesn’t

• You want a roadmap handed to you each sprint.

• You need consensus before you ship.

• You measure your career in titles and team size.

• You think AI tools are cheating.

Why join

• The blank page. You’ll author the first version of systems built to move billions, and watch your early decisions compound into the product, for better and worse. Very few engineers ever get this.

• Founders who’ve done it before. Stanford and Columbia alumni who have founded companies and had multiple exits. We know what scale looks like and what it takes to get there.

• Compressed learning. A year here is five years anywhere else. You’ll touch agentic systems, financial infrastructure, enterprise products, and customer workflows, in your first quarter.

• No layers. You work directly with founders. Your opinion on product direction is expected, not tolerated.

• Competitive compensation and flexible time off.

How to apply

Skip the cover letter. Email careers@relevanse.ai with:

• A link to the thing you’ve built that you’re proudest of (repo, live product, demo, anything we can see or run).

• Three sentences: the hardest bug or design decision behind it.

• Optional, but it gets our attention: tell us one thing in this JD you’d push back on.

We reply to every real application within 48 hours. Process is fast: one conversation, one working session building something together, decision.

AI Enablement Consultant | Atlanta, GA | Hybrid | $100K - $200K + equity

If you've ever left a training session thinking "they were nodding along but nothing's actually going to change," this role is the opposite of that. You'll be the person who takes a skeptical client team and gets them genuinely working AI-natively, with the credibility to also help shape the technical solutions behind it.

A fast-growing AI solutions consultancy is hiring an AI Enablement Consultant to join a lean, high-performing Atlanta team. This is a training and solution-design-led role, not a management track. You'll work directly with founders and senior leadership and have real input into how the company's delivery model evolves.

The company helps enterprise clients across healthcare, real estate, manufacturing, and software adopt AI in ways that stick, running hands-on training and supporting custom build engagements. You'll be in front of C-suite executives one day and frontline teams the next, with the variety and pace that keeps the work genuinely interesting.

Why this one stands out:

• You'll own multiple live client engagements simultaneously, with real autonomy over how you run them.

• Your curricula and frameworks get productized into the company's delivery platform, so your best work compounds instead of disappearing after one engagement.

• You'll get a foot in the technical solution-design side too, partnering on custom builds without needing to be the one writing production code.

• Direct access to founders and senior leadership, in a company that's still small enough for your work to be highly visible.

• You're working at the genuine frontier of applied AI, with daily hands-on use of leading LLM tooling, not theory.

What they're looking for:

• Strong teaching and facilitation ability, with a track record of driving real adoption, not just awareness.

• Genuine day-to-day fluency with a major LLM (e.g. Claude or similar), including building custom skills/projects.

• Working Python literacy: enough to read, modify, and prototype, not necessarily ship production code

• Understanding of RAG, prompt engineering, and agent design well enough to scope what's realistic.

• Comfort with no-code/low-code platforms (Make, n8n, Zapier or similar)

• Strong solution design and project management skills, able to run a build engagement end to end.

• Comfortable presenting to C-suite executives and frontline teams in the same week.

• Experience managing multiple concurrent client engagements.

Nice to have: prior experience delivering training or enablement programmes, consulting or systems integrator background, TypeScript/Node.js exposure, public track record in applied AI.

Superpilot is AI agent for marketers. We help some of the biggest brands in the world accelerate their commerce marketing workflows, get discovered by AI Apps like ChatGPT & Gemini, and deliver superior shopper experiences.

The Role

We're looking for a Founding Designer to help build our core AI product from the ground up. You'll work directly with leadership to deliver features that enterprise commerce brands rely on daily. This is a high-ownership role where your design decisions will immediately impact product execution and support go-to-market activities.

What You'll Do

• Design Superpilot apps and AI agents

• Support GTM with various design assets (UI/UX for website, social, sales decks et al)

• Collaborate directly with customers to understand their problems and build solutions

What We're Looking For

Design Judgement - You turn product requirements with a level of ambiguity into highly functional products crafted with taste

Prototyping (and shipping!) in Code - You are comfortable developing high fidelity product prototypes - and ideally, even shipping them using latest AI coding tools

Startup pace - You've shipped in environments where speed matters.

Why Join Now

• Early equity in a company positioned at a major inflection point in how marketers work every day

• Direct impact on product direction and technical architecture

• Hard problems at the intersection of AI, marketing and commerce

• Small team where your work ships to real customers immediately

Hybrid/In-office: This is not a fully remote role and there are expectations that if your team leaders or client requires you onsite that you can meet those expectations/requirements. This role can be located in Denver, NorCal, or Seattle.

Who You’ll Work With

Our Transformation team helps organizations reimagine how work gets done and navigate change with confidence. We are seeking a Consultant or Senior Consultant to join our Workforce Modernization team, partnering with clients to drive organizational transformation through human-centered change, AI-powered enablement, and modern workforce strategies. We help clients align people, processes, and technology to accelerate adoption, improve effectiveness, and achieve meaningful business outcomes. Our consultants excel in ambiguity, bringing clarity, collaboration, and measurable results to complex transformation initiatives.

What You’ll Do

• Design and lead enterprise-level change strategies that enable organizations to transition to their future state, integrating behavioral insights, AI-supported analysis, and tailored interventions aligned to each client’s culture and goals.

• Deliver AI coaching and mentor change leaders to equip individuals and teams with the mindset, skills, and confidence to adopt new ways of working and thrive in an AI-enabled environment.

• Drive stakeholder engagement and communication strategies that build alignment, strengthen sponsorship, and embed change into organizational values and ways of working.

• Develop and deliver learning experiences—including AI-enhanced training, digital learning assets, and capability building programs—that accelerate adoption and elevate workforce readiness.

• Anticipate and mitigate resistance by applying advanced change diagnostics, data-driven insights, and targeted interventions to ensure smooth adoption.

• Establish measurement frameworks to track adoption, proficiency, sentiment, and learning outcomes, using continuous feedback loops to refine and optimize the change journey.

• Provide post-implementation coaching and reinforcement, ensuring long-term sustainability through continuous learning, performance support, and AI-enabled insights.

• Leverage AI tools and emerging technologies to enhance deliverable quality, accelerate analysis, and improve consulting efficiency and effectiveness.

What You’ll Bring

• 5+ years of experience with advanced mastery in change management, with demonstrated mastery in leading complex change initiatives. Relevant recent experience with AI coaching.

• Deep knowledge of agile change management methodologies, tools, and frameworks; certifications (e.g., PROSCI, ACMP) are beneficial but not required.

• Demonstrated experience using AI tools, automation, and emerging technologies to enhance change delivery, insights, and outcomes—and a strong desire to continue upskilling in this space.

• Skilled in AI enablement and change adoption, with the ability to coach stakeholders and teams on effectively leveraging AI tools to enhance productivity, collaboration, and business outcomes.

• Proven success designing and executing structured AI-forward change approaches for large-scale transformations, technology implementations, or operating model shifts.

• Exceptional communication skills with the ability to craft compelling narratives and influence stakeholders at all levels—from frontline teams to senior executives.

• A collaborative, adaptive working style and comfort navigating ambiguity, shifting priorities, and diverse client environments.

• Ability to quickly build industry fluency, trust, and credibility, working seamlessly with cross-functional teams and senior leaders.

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 partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

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 include meaningful 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 for a Consultant is $80,000-115,000 and for a Senior Consultant is $102,000-150,000. 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 time.

We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accomodationrequest@slalom.com if you require accommodations during the interview process.

Lead - Enterprise AI & Industry Strategy

Zero to AI Engineer