School of Growth Global is seeking a highly creative and technologically proficient Video Production and AI Video Generation Specialist.

The successful candidate will be responsible for producing professional video content, institutional documentaries, educational videos, promotional campaigns, interviews and digital media productions.

This position requires competence in traditional video production and editing, alongside professional AI-powered video creation skills.

## A. Video Production

- Plan, shoot and produce professional video content.
- Handle camera operations, lighting, sound and video recording.
- Produce institutional documentaries, interviews and promotional videos.
- Record educational lessons, lectures, presentations and training sessions.
- Develop video concepts and production scripts.
- Coordinate video production for institutional campaigns and events.

## B. Professional Video Editing

- Edit raw video footage into professional, engaging productions.
- Perform colour correction, colour grading and audio enhancement.
- Add motion graphics, animations, subtitles and transitions.
- Produce short-form and long-form videos.
- Create content optimised for YouTube, Instagram, Facebook, TikTok and other platforms.
- Ensure high-quality audio-visual output.

## C. AI Video Generation and Production

- Use professional AI video-generation platforms to create realistic and engaging videos.
- Produce AI-generated presenter videos, educational explainers and promotional content.
- Create realistic AI avatars and digital presenters.
- Generate videos using text-to-video and image-to-video technologies.
- Develop AI-powered videos featuring realistic human movements, expressions and environments.
- Create AI-generated voiceovers and synchronised lip-sync videos.
- Integrate AI-generated scenes with professionally recorded footage.
- Use AI tools to improve production efficiency, storytelling and visual quality.
- Maintain consistency in character appearance, voice and institutional identity.
- Stay updated on emerging AI video-generation technologies.

## Required Technical Competencies

Candidates should demonstrate practical knowledge of:

- Adobe Premiere Pro.
- Adobe After Effects.
- DaVinci Resolve or equivalent professional editing software.
- CapCut or other advanced editing applications.
- Runway.
- Kling AI.
- Google Veo.
- Sora or comparable AI video-generation technologies.
- ElevenLabs or equivalent AI voice-generation platforms.
- AI avatar and lip-sync technologies.

Equivalent professional tools are acceptable.

## Required Qualifications and Skills

- Demonstrable video production and editing experience.
- Professional understanding of cinematography and storytelling.
- Practical experience with AI-generated video production.
- Ability to create realistic AI videos and digital presenters.
- Knowledge of professional audio and visual production.
- Ability to work independently and meet production deadlines.
- A portfolio or showreel demonstrating previous work is compulsory.

Important: Applicants must demonstrate both video editing and AI video-generation capabilities. Basic video editing alone is insufficient for this position.

Work Location: Hybrid remote in 500101 Port Harcourt

## About The Role

What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in Ahmedabad to build, evaluate, and improve AI-generated code — helping train AI systems to think like real developers.

You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development — not theoretical, not bureaucratic, and not boring.

This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week

## What You'll Do
- Write, debug, and optimize code across a range of languages, frameworks, and problem domains
- Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
- Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
- Provide structured, detailed feedback explaining why code works — or doesn't
- Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
- Compare and rank multiple AI-generated solutions based on engineering quality
- Work independently and asynchronously — fully on your own schedule

## Who You Are
- Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)
- Solid understanding of data structures, algorithms, and software design principles
- Able to read, write, and reason about code with clarity and precision
- Strong problem-solving instincts and a systematic debugging approach
- Clear written communicator — you can explain technical decisions in plain language
- Self-motivated and reliable when working independently without supervision
- Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent practical experience

## Nice to Have
- Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)
- Familiarity with AI/ML concepts, LLMs, or prompt engineering
- Background in code review, technical writing, or mentoring junior developers
- Experience with cloud platforms, DevOps, or distributed systems
- Competitive programming, open-source contributions, or side projects that demonstrate your craft
- Advanced degree in Computer Science or related discipline

## Why Join Us
- Work on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — set your own hours and work from anywhere
- Freelance autonomy with intellectually stimulating, high-impact work
- Directly influence how AI writes, understands, and reasons about code
- Sharpen your own engineering skills by evaluating diverse problems daily
- Potential for ongoing work and contract extension as new projects launch

## Who You’ll Work With

At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital product development. We imagine how things can be made better, then set out to realize what’s possible — driving innovation with quality, resilience, and purpose. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow. As a member of Intelligence Engineering, you’ll design and deliver innovative AI/ML and agentic AI solutions as part of intelligent products and automating / re-envisioning human workflows on Amazon Web Services, Azure, and Google Cloud. This includes architecting multi-agent systems, LLM-powered autonomous workflows, retrieval-augmented generation (RAG) pipelines, and enterprise-grade AI governance frameworks using cutting-edge orchestration frameworks, tool-use protocols, and cloud-native AI services. You’ll help clients move from isolated proofs of concept to secure, scalable, observable systems that create real business value, while helping craft projects in their initial phases and delivering them with a team. We are open to hiring Senior Engineer, Architect, or Senior Architect level across the East region.

We offer a flexible working environment to balance the need to work independently, with some days that may require in-person collaboration at our office.

## What You’ll Do
- Provide thought leadership on AI/ML, Generative AI, and Agentic AI internally and with clients, while contributing to a culture of collaboration, learning, and curiosity
- Design end-to-end agentic AI architectures including planning loops, memory management, tool integration, and agent coordination patterns
- Architect multi-agent orchestration systems using frameworks such as Strands Agents SDK, OpenAI Agents SDK, Google ADK, LangGraph or similar for autonomous reasoning, decision-making, and task execution
- Design and implement Model Context Protocol (MCP) server integrations for tool use, data access, and cross-system interoperability with enterprise systems
- Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis
- Design and deliver AI and ML solutions across AWS, Azure, and GCP, using the right mix combination of cloud-native data services, ML tooling, LLM platforms, and software engineering practices
- Build in Python and, where useful, other languages to deliver machine learning systems, APIs, evaluation harnesses, retrieval pipelines, agent workflows, and production services
- Recommend and implement architecture for model and agent pipelines, CI/CD, testing, deployment, observability, and MLOps/LLMOps at scale
- Implement evaluation frameworks (e.g., RAGAS, DeepEval, LangSmith) to measure task success rates, tool-call accuracy, and reasoning integrity for GenAI systems
- Build guardrails for safety, compliance, and performance monitoring including human-in-the-loop (HITL) approval workflows, escalation policies, and sandbox isolation
- Define AI governance frameworks including model risk management, responsible AI practices, regulatory compliance, and authorization boundaries for autonomous decision-making
- Explain model and system behavior to both technical and non-technical audiences, including leading deep technical presentations, workshops, and architecture conversations
- Collaborate with Product Owners to apply Slalom’s agile process and lead the initiation, delivery, and transition of projects in a client-facing role
- Lead and mentor engineers and machine learning practitioners. Lead smaller projects (3 to 5 people) as the technical lead from project initiation to delivery
- Build trusted relationships with customers and collaborate across Slalom teams to share learnings and strengthen the broader Intelligence Engineering practice
- Will be delivery-focused approximately 85–95% of the time

Travel may be required on a limited basis dependent on your client engagement or internal meetings/events.

## What You’ll Bring
- 5+ years of software engineering experience building and deploying production systems; experience with machine learning, applied AI, or intelligent software systems is a plus, with 2+ years focused on generative AI, LLMs, or agentic AI systems
- Hands-on experience designing or building multi-agent systems including agent orchestration, tool integration, and autonomous decision-making workflows
- Proficiency with at least one agentic AI or workflow framework such as LangGraph, Strands, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, Google ADK, or similar
- Experience with RAG architectures including vector databases, embeddings, and retrieval optimization, and context management techniques such as chunking, summarization, and memory handling
- Experience developing production-ready solutions on at least one major cloud AI platform, such as AWS Bedrock, Azure AI Foundry/OpenAI Service, GCP Vertex AI/Gemini, or Databricks; experience operating and maintaining production environments is a plus
- Experience with AI-assisted development tools such as Claude Code, Cursor, Kiro, or similar IDE-based coding agents, including effective use for code generation, refactoring, debugging, and developer workflow acceleration
- Strong Python development skills; experience with FastAPI, Flask, or equivalent API frameworks
- Experience building ML or AI systems end to end, including data access, feature or retrieval flows, APIs, testing, deployment, and production support
- Familiarity with evaluation frameworks, tracing, observability, model behavior analysis, and regression testing for GenAI systems
- Understanding of prompt engineering, LLM fine-tuning, chain-of-thought reasoning, and structured output techniques
- Recognized as an authority on at least one technical domain (e.g., Agentic Systems, RAG, Multi-Agent Orchestration) with generalist familiarity across AI/ML techniques
- Ability to work across new domains and unfamiliar data structures and lead exploratory analysis when requirements are not fully defined
- Excellent verbal and written communication skills; ability to lead highly technical presentations
- Familiarity with Agile project delivery
- (Preferred) Experience with Model Context Protocol (MCP) server development and integration
- (Preferred) Experience with MLOps/LLMOps pipelines, CI/CD for ML, and model monitoring/observability

## 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 salary ranges:
- Boston, New Jersey, New York City, Washington DC, White Plains:
- Senior Architect: $178,000-$218,000
- Architect: $145,000-$177,000
- Senior Engineer: $118,000-$144,000
- All other locations:
- Senior Architect: $163,000-$200,000
- Architect: $133,000-$163,000
- Senior Engineer: $108,000-$132,000

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 pay range is subject to change and may be modified at any time.

We will accept applicants until the position is filled.

## 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 if you require accommodations during the interview process.

Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.

## About the opportunity

We are seeking detail-oriented English speakers to review AI-generated media. Roleplay live conversations with an AI voice model and score each exchange, compare generated images and videos to judge which follows the prompt better, and explain in writing what looked or sounded wrong, all remotely and on your own schedule.

At Outlier, your expertise helps shape how advanced AI systems reason, learn, and improve. Through Outlier’s evaluation and feedback loop, your work helps turn frontier research into AI that performs better in the real world.

## Responsibilities
- Holding a live, scenario-based conversation in English with AI voice models, then ranking how natural, useful, and clear each one sounded
- Comparing pairs of AI-generated images and videos and judging which one better follows the prompt
- Inspecting outputs closely, including zooming in and replaying, to spot problems like distorted anatomy, flickering or unnatural motion, text errors, and audio that doesn't match the video
- Rating each output across dimensions like adherence, quality, and realism, then writing a specific explanation in English that points to what you saw or heard

## Common tasks
- Image evaluations: Compare two AI-generated images for the same text prompt and pick the better one, judging how well each follows the instructions, visual quality, and visible AI artifacts. Some tasks rank edited images against the original.
- Video evaluations: Rank AI-generated videos against a text prompt, or edited videos against their source clip.
- Video caption labeling: Label first-person videos of people or robots doing hands-on tasks. Contributors split each clip into individual actions and write precise captions, starting from an AI draft and correcting it.
- Audio and voice evaluations: Rate AI-generated speech on naturalness, pronunciation, and how closely it matches a target voice. Some tasks require recording a short voice explanation of the choice.

## Ideal qualifications
- Fluent English speaker with strong, clear written communication and comfortable with natural, everyday conversational speech
- Strong attention to detail, with the patience to look and listen closely, and to replay or zoom in when something seems off
- Comfortable thinking on your feet and talking through realistic situations in a natural, conversational way
- Experience writing short, evidence-based explanations or reviews
- Comfortable making a clear decision when both options have flaws
- Nice to have: Pursuing or holding a Bachelor's degree or above

## What you'll need to sign up
- A valid ID and mobile phone from your country of residence
- An up-to-date resume that highlights your expertise
- A LinkedIn profile showing your educational background and work experience

## Payment
- Project work: Earn up to USD $15 per hour
- Additional incentives: On average, contributors earn an additional 7.5% through Missions — Outlier’s version of surge pricing. The top quartile boosts their earnings by an average of 11%.
- Payment schedule: Payments are processed weekly on Tuesdays, covering tasks completed during the previous pay period (Tuesday to Monday at midnight UTC), via PayPal, AirTM, or ACH transfer.
- Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.

## Why join Outlier
- Work flexibly from anywhere, anytime, with no minimum hours. Set your own schedule, whether that's five or 40+ hours per week.
- Free access to leading LLMs, worth $200+/month
- Join 900K+ Outlier Experts across 52 countries, with $600M+ paid to experts
- Collaborate with experts in your field to push the boundaries of pre-release models

## How to apply
- Create an account on Outlier
- Upload your resume
- Upload your valid ID
- Start earning by completing tasks

Currently accepting applicants from: Australia, Canada, Ireland, New Zealand, United Kingdom, and United States.

Please note: This is a 1099 contract opportunity on the Outlier.ai platform. You will join Outlier as a freelancer/independent contractor, not an employee. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

## The Opportunity

As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges. You will combine hands-on engineering with delivery leadership to build, evaluate, and deploy AI solutions—from prototype to production.

## Your Key Responsibilities

As a Cyber AI Engineer, you will work with client security and engineering teams to deploy AI workflows for threat investigation, detection engineering, vulnerability analysis, and remediation support. You will use retrieval, tool calling, and structured outputs, and build evaluation datasets and test harnesses to measure accuracy, false positives, task completion, latency, and cost.

As a Manager, you will own technical delivery, workstreams, timelines, and budgets while mentoring Senior Consultants and Consultants. You will stay hands-on through architecture, pair programming, code reviews, and integration troubleshooting. You will partner with frontier model providers and researchers to evaluate cyber capabilities and translate deployment findings into engineering requirements. You will also support proposals, demonstrations, thought leadership, and account growth, and develop reusable components, evaluation suites, and delivery playbooks.

## Skills And Attributes For Success
- Deep understanding of frontier AI models, LLMs, agentic architectures, and retrieval-augmented generation for cybersecurity.
- Ability to align Senior Managers, Partners, and client executives on use cases, scope, and engineering requirements.
- Strong software engineering skills to build, test, debug, and deploy production AI applications.
- Experience building model integrations, tool-calling agents, evaluation harnesses, and secure security-platform connections.
- Ability to deliver maintainable solutions on time and within budget, with clear acceptance criteria and documentation.
- Strong troubleshooting skills across cyber workflows, model behavior, data quality, and production issues.
- Ability to explain model behavior, evaluation results, and security trade-offs to technical and executive audiences.
- Strong client discovery, demonstration, stakeholder management, and collaboration skills.
- Experience developing engineering teams while remaining hands-on and accountable for quality.
- Commitment to secure engineering, experimentation, and emerging AI cyber capabilities.

## To Qualify for the Role, You Must Have
- A bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a related field and 5+ years of relevant experience; or a graduate degree and 4+ years. Experience must include hands-on software engineering and at least 1–2 years building or deploying AI/ML solutions.
- Proficiency in Python, APIs, Git, automated testing, and production delivery, plus experience in one or more of these areas:
- Deploying frontier AI models or LLM applications for cybersecurity
- Building agents, model tool integrations, retrieval pipelines, and evaluation harnesses
- Security operations, threat investigation, detection engineering, or incident response automation
- DevSecOps, CI/CD, containers, and infrastructure-as-code for AI services
- Cloud engineering and secure AI deployment on AWS, Azure, or GCP
- API integration with SIEM, SOAR, EDR, vulnerability management, or code security platforms
- Application security, vulnerability analysis, secure code review, or automated remediation
- Understanding of prompt injection, data leakage, unsafe tool use, and safeguards informed by OWASP Top 10 for LLMs and MITRE ATLAS.
- Working knowledge of security architecture, identity and access management, data protection, and secure AI operations.
- Experience leading client-facing delivery or cross-functional engineering from requirements through deployment and handover.
- Strong writing, presentation, and technical documentation skills.
- Willingness to travel based on client and business needs; estimated at 25–50%.

## Ideally, You'll Also Have
- Cybersecurity (e.g., CISSP, CCSP), cloud, engineering, or AI/ML certifications.
- Experience with frontier model providers or cyber-focused model selection, adaptation, and evaluation.
- Experience with agent orchestration, model serving, LLM observability, and CI/CD evaluation gates.
- Knowledge of adversarial testing, AI red teaming, sandboxing, and safeguards for authorized dual-use cyber work.
- Experience with data residency, privacy, model access, and deployment in regulated or restricted environments.
- Experience leading engineering workshops, live prototyping, architecture reviews, and executive demos.
- Experience building cyber evaluation datasets, fine-tuning models, or contributing to open-source AI or security projects.
- Forward-deployed engineering or consulting experience delivering production solutions and managing client relationships.

## What We Look For

We seek hands-on engineers who pair cybersecurity expertise with practical AI delivery. You can build with client teams, improve solutions through testing, and balance model capability with safety and reliability. You bring the leadership to develop teams, own delivery, and build client trust while growing EY's Cyber AI engineering practice.

## What We Offer You

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.
- The salary range for this job is:
- New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $173,900 to $290,100
- Bay Area California offices – $181,200 to $302,100
- All other offices locations in the US, including Sacramento – $144,900 to $265,800
- Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Are you ready to shape your future with confidence? Apply today.
- To make the most of your application experience, please limit yourself to two applications within a six-month period.
- EY accepts applications for this position on an on-going basis.
- For those living in California, please click here for additional information.
- At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.

## EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

## About Us

Mercedes-Benz USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values: 'PRIDE = Passion, Respect, Integrity, Discipline, and Execution'. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks.

## Job Overview

The Applied ML/AI Solutions Engineer is responsible for designing, building, and delivering AI-powered solutions that drive measurable business value across Mercedes-Benz USA. This role develops copilots, intelligent assistants, agent-based solutions, and AI-enabled business processes that solve real-world business challenges. The ideal candidate combines strong software engineering expertise, modern AI development experience, and solution architecture skills to deliver scalable, production-ready capabilities. This role works closely with data scientists, AI engineers, architects, and business stakeholders to transform opportunities into operational AI solutions.

## Applied AI Solution Delivery (60%)
- Design, develop, and deploy AI-powered applications, copilots, assistants, and agent-based solutions.
- Translate business requirements into scalable technical architectures and working solutions.
- Integrate AI capabilities with enterprise applications, APIs, and operational systems.
- Deliver production-ready solutions that meet standards for performance, reliability, security, and supportability.
- Leverage established AI platform, LLMOps, and productization frameworks to accelerate delivery.
- Contribute code, technical leadership, and best practices across the AI solution portfolio.

## Solution Architecture & Design (20%)
- Define solution architectures and technical designs for AI initiatives.
- Evaluate technologies, frameworks, and implementation approaches.
- Align solutions with enterprise architecture, security, and governance standards.
- Support planning, estimation, and technical execution activities.

## Engineering Excellence & Innovation (10%)
- Establish and uphold standards for code quality, testing, documentation, and operational readiness.
- Evaluate emerging AI technologies and development approaches.
- Contribute reusable patterns that improve delivery efficiency and consistency.

## Collaboration & Technical Leadership (10%)
- Partner with business stakeholders, product teams, and engineering teams to drive successful outcomes.
- Mentor engineers and share expertise across the organization.
- Support knowledge sharing, cross-training, and team resilience initiatives.

## Required Technical Skills
- Strong proficiency in Python and SQL.
- Experience developing and deploying production AI applications.
- Azure Databricks and cloud platforms such as Azure or AWS.
- Enterprise LLM platforms including Azure OpenAI, AWS Bedrock, or equivalent.
- Retrieval Augmented Generation (RAG) architectures and vector databases.
- REST APIs and modern integration practices.
- Software engineering best practices, testing, and CI/CD.
- Solution architecture and enterprise application integration experience.

## Preferred Technical Skills
- LangChain, LangGraph, Semantic Kernel, Strands Agent SDK, or similar frameworks.
- React, TypeScript, Plotly Dash, Streamlit, or related technologies.
- Salesforce, ServiceNow, SAP, or Microsoft 365 integration experience.
- Agent orchestration frameworks and multi-agent architectures.
- Experience delivering AI use cases at enterprise scale.

## Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.
- 8+ years of experience in software engineering, machine learning engineering, AI platform engineering, or related disciplines.
- Demonstrated experience designing, building, and operating enterprise AI/ML platforms.
- Strong understanding of cloud-native architectures, MLOps, deployment automation, monitoring, and production operations.
- Experience building reusable engineering frameworks, platform services, or shared infrastructure capabilities.
- Strong communication, collaboration, and stakeholder management skills.

## Preferred Experience
- Master's degree in Computer Science, Engineering, AI/ML, or related field.
- Experience delivering enterprise-scale AI/ML platforms supporting multiple business domains.
- Experience operating in regulated or compliance-sensitive environments.
- Experience scaling platform engineering capabilities supporting machine learning, generative AI, and agent-based systems.

## Additional Information
- Position requires regular collaboration with business, technology, and external partner teams across multiple time zones.
- Some travel required for team, partner, and business engagements.
- This role is part of MBUSA's Data Insights & AI organization and contributes to the company's long-term AI strategy and operating model.

## EEO Statement

Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

Outlier is an innovative AI training platform powered by Scale AI. As an Outlier Expert, you'll engage in diverse projects that involve generating training data and assessing model performance.

## About the opportunity

We are on the lookout for meticulous English speakers to review AI-generated content. This role involves conducting live conversations with an AI voice model and assessing each interaction, comparing AI-generated images and videos to determine which is more aligned with the prompt, and providing detailed written explanations of any discrepancies—all from the comfort of your own home and on your schedule.

Your expertise plays a crucial role in refining how advanced AI systems reason, learn, and evolve. Participation in Outlier's feedback loop ensures that cutting-edge research translates into AI capable of performing effectively in real-world applications.

## Responsibilities
- Engage in live, scenario-based conversations in English with AI voice models, then evaluate the naturalness, usefulness, and clarity of each exchange.
- Analyze pairs of AI-generated images and videos to determine which one better adheres to the prompt.
- Scrutinize outputs closely, using zoom and replay functions to identify issues like distorted anatomy, unnatural motion, text errors, and audio mismatches.
- Assign ratings to each output based on parameters like adherence, quality, and realism, while composing specific explanations in English about your observations.

## Common tasks
- Image evaluations: Compare two AI-generated images for the same text prompt and select the superior one, evaluating adherence to instructions and visual quality.
- Video evaluations: Assess AI-generated videos against a text prompt or edit comparisons with their source clips.
- Video caption labeling: Document actions in first-person videos featuring individuals or robots performing tasks, breaking down clips into individual actions and refining provided captions.
- Audio and voice evaluations: Evaluate AI-generated speech for naturalness and pronunciation, and assess alignment with target voices, sometimes requiring recorded voice explanations of your ratings.

## Ideal qualifications
- Fluent English speaker with exceptional written communication skills, and comfort with informal conversational speech.
- Strong attention to detail, patience in closely examining outputs, and willingness to review content as necessary.
- Ability to think rapidly and converse naturally in various simulated scenarios.
- Experience composing concise, evidence-based assessments or reviews.
- Capable of making clear decisions even when both options have shortcomings.
- Preferred: Currently pursuing or holding a Bachelor's degree or higher.

## What you'll need to sign up
- A valid ID and a mobile phone from your country of residence.
- An updated resume that emphasizes your strengths.
- A LinkedIn profile showcasing your educational background and work history.

## Payment
- Project work: Earn up to USD $15 per hour.
- Additional incentives: Contributors typically earn an additional 7.5% through Missions, Outlier's surge pricing model. Top performers can enhance their earnings by an average of 11%.
- Payment schedule: Payments are processed weekly on Tuesdays, covering work completed in the previous pay period (Tuesday to Monday at midnight UTC), via PayPal, AirTM, or ACH transfer.
- Note: Rates may vary based on expertise, skills assessment, location, and project needs, with potential for higher rates for PhD holders. Initial project onboarding may have lower rates.

## Why join Outlier
- Enjoy the flexibility of working from anywhere, at any time, with no minimum hour requirements. Set your schedule, whether it's five hours or 40+ per week.
- A complimentary subscription to leading LLMs valued at over $200 per month.
- Join a community of 900K+ Outlier Experts across 52 countries, with over $600M paid to contributors.
- Collaborate with field experts to advance cutting-edge pre-release models.

## How to apply
- Create an account on Outlier.
- Upload your resume.
- Upload your valid ID.
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## Position Purpose

Leads Centene's vendor AI review and integration standards function, accountable for ensuring that third-party and vendor-supplied AI capability entering the enterprise is properly assessed, architecturally suitable for Centene's AI Control Plane, and held to defined integration and interoperability standards over the life of the relationship. Directs vendor AI intake review and technical assessment in coordination with AI Intake, Enterprise AI Governance, Security Risk Management/TPRM, Procurement, and Legal, ensuring AI functionality is disclosed, evaluated, and routed through the required review paths before contract execution or deployment. Determines and documents each vendor solution's suitability to the AI Control Plane across the defined integration points — intake assessment, control adherence, vendor agents running on Centene's agentic framework, vendor agents interacting with LLMs through the Centene AI Gateway, and network-level AI observability. Ensures compliance with Centene's standards for vendor AI integration, including open-standard and protocol expectations such as MCP, model routing and gateway use, telemetry and observability schemas, agent registration, and cost attribution. Owns ongoing vendor AI control plane adherence — monitoring conformance, managing model-change notification, and driving remediation when vendor solutions drift from approved patterns. Leads a team and serves as the enterprise's AI voice in vendor AI evaluations, bake-offs, relationship management, and contract negotiations.

## Key Details

Centene is going through our biggest transformation in our history to become the market leader, and AI is the key tool to enable the transformation. This is an exciting opportunity to use AI to transform a Fortune 20 company, and to change healthcare for the better! This is a remote role within the United States, requiring business travel 2-3 times per quarter. Candidates must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.
- Provides leadership and management oversight for vendor AI assessment, integration architecture, and standards conformance across the enterprise AI portfolio. Defines the evaluation methodology and standards, leads the team performing assessments, partners across governance and risk functions, and is accountable for the technical suitability, interoperability, and ongoing control adherence of vendor-supplied AI at Centene.
- Leads intake review and assessment of vendor AI solutions, including new vendor AI, AI functionality being activated within existing vendor platforms, and scope changes to current vendor offerings — coordinating with AI Intake and Security Risk Management so the third-party intake and vendor risk assessment are engaged at the right point.
- Administers the vendor AI due diligence process, including the Vendor AI Questionnaires covering model identification, agentic behavior, AI lifecycle governance, testing and evaluation for accuracy and bias, data use and training, lineage, orchestration and data flow, retention, subprocessor chains, PHI/PII handling, MCP server inventory, and incident response.
- Determines and documents each vendor solution's suitability to Centene's AI Control Plane, selecting and validating the applicable integration pattern — agents on Centene's agentic framework, vendor-hosted agents routing model calls through the Centene AI Gateway, network-level observability, or a combination — and identifying gaps requiring remediation or exception.
- Assures compliance with Centene's vendor AI integration and interoperability standards, including open-standard and protocol expectations (MCP, open APIs), model routing, prompt and agent versioning and change approval, telemetry and trace schemas, and cost attribution and budget controls.
- Establishes the evaluation framework used in vendor AI bake-offs and competitive assessments, including scoring criteria, reference architecture fit, evidence quality expectations, and documented recommendations to business and technology sponsors.
- Conducts documentation review for vendor AI, assessing architecture, security, data flow, AI governance, and operational support materials for evidence-based claims, disclosed limitations, and explainability rather than marketing assertions.
- Partners with Procurement and Legal to define AI-specific contractual requirements, including AI governance and risk management clauses, incident response and SLA expectations, audit rights, restrictions on training against Centene data and context, and mandatory model-change notification.
- Owns ongoing vendor AI control plane adherence, including periodic conformance review, processing of vendor model and capability change notifications, re-assessment triggers when scope changes, and escalation and remediation when a vendor solution falls outside approved patterns.
- Ensures vendor AI systems and vendor-supplied agents are registered in the enterprise AI Inventory and Agent Registry with required metadata, risk tier, ownership, and lifecycle state, and that control evidence is available to support regulator, market conduct, and contractual evidence requests.
- Serves as the designated technical reviewer and escalation point for AI functionality identified during third-party intake, reducing returned intakes caused by undisclosed AI capability.
- Maintains and publishes vendor AI standards, reference integration patterns, required evidence lists, and routing guidance so business sponsors and vendors understand expectations before engagement begins.
- Recruits, develops, and leads a team of staff performing vendor AI assessment and integration design; sets technical standards and quality expectations for assessment work products.
- Partners across AI Enablement, Enterprise AI Governance, Security, Data & AI platform teams, Procurement, Legal, and business sponsors, representing Centene's technical position in vendor discussions and negotiations.
- Performs other duties as assigned.
- Complies with all policies and standards.

## Education/Experience
- Requires a Bachelor's degree and 7+ years of related experience, including prior management experience.
- Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.

## Preferred
- Experience vetting and implementing vendor solutions, preferably AI solutions.
- Proven track record partnering across a large organization to build an effective vetting and evaluation process.

Pay Range: $146,000.00 - $269,600.00 per year

At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday.

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

## Grade

The Grade for this role is E2.

## About the job you’re considering

The AI Growth Leader is a senior, client-facing AI leadership role responsible for advancing the AI agenda across a strategic Capgemini account or portfolio of accounts within an industry in the Americas. The role leads the full AI lifecycle, from executive-level advisory and opportunity identification through solution architecture, hands-on development, production deployment, and measurable value realization.

As part of the Americas AI Center of Excellence, the AI Growth Leader brings together client advisory, solutioning, hands-on AI expertise, and commercial growth, working with clients and Capgemini’s strategic AI and hyperscaler partners to translate AI opportunities into scalable, production-ready solutions. Success is defined by delivering measurable business outcomes, expanding AI adoption, and creating opportunities to grow Capgemini’s AI footprint within strategic clients. As a newly established role, the AI Growth Leader will also help shape and mature Capgemini’s approach to AI-led client transformation and growth.

## Your role
- Client advisory and AI agenda: Act as the trusted AI advisor to senior client stakeholders. Develop a clear point of view on where AI creates value in the client’s business and shape that view into a prioritized roadmap of opportunities.
- Discovery and problem framing: Lead discovery with business and technology leaders. Analyze the client’s operations and data landscape, ask the questions that surface where value sits and what blocks it, and frame problems in terms both business and technical audiences can act on.
- Solution architecture: Design solution architectures that meet enterprise standards for security, data governance, integration, scalability and cost, and guide delivery teams through to production.
- Hands-on development: Build prototypes, agents and proofs of value personally, using frontier models together with the client’s data and platforms, so that clients can evaluate working solutions early in the engagement.
- Value realization: Define the business case and success metrics for each AI initiative before build starts. Track adoption and outcomes after go-live, report realized value to client and Capgemini leadership, and use the results to decide what to scale, adjust or stop.
- Proposals and pursuits: Lead the AI content of proposals, orals and client workshops for the account or industry, with estimates and delivery plans grounded in direct build experience.
- Reusable assets and ecosystem: Convert proven work into accelerators, demonstrations and industry plays for use across the Center of Excellence and Capgemini’s global industry teams. Engage hyperscaler and AI model partners, and Capgemini specialists in data, cloud and industry, where they strengthen a solution.

## Your skills and experience
- 10+ years of experience in technology consulting, AI, data, or technology services, with demonstrated credibility advising and influencing senior executive stakeholders.
- Proven ability to operate across executive advisory and hands-on delivery, moving from strategic discussions and operating-model decisions to technical solutioning and working sessions with engineering teams.
- Demonstrated track record of shaping and delivering complex AI or data initiatives from opportunity identification through production, with measurable and documented business outcomes.
- Strong hands-on AI engineering expertise, including building Generative AI solutions using large language models, retrieval/RAG, agent orchestration, tool use, evaluation frameworks, and Python or TypeScript.
- Strong architecture expertise across at least one major cloud platform and enterprise data ecosystem, with practical knowledge of AI security, governance, scalability, and cost management.
- Deep industry knowledge in at least one sector such as Consumer Products & Retail, Financial Services, Telecom & Media, Energy & Utilities, Life Sciences, or Aerospace & Manufacturing, including an understanding of industry value chains and business economics.
- Strong consulting and commercial skills, with the ability to structure ambiguous problems, identify and qualify AI opportunities, estimate effort and delivery risk, prioritize investments based on client value, and communicate solutions effectively through executive presentations and client discussions.
- Willingness to travel to client locations as required.

The base compensation range for this role in the posted location is $165,520 - $265,200.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

## Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Ready to shape secure AI and data platforms at enterprise scale?

## Why HSBC

HSBC is one of the largest banking and financial services organisations in the world. Guided by our purpose of opening up a world of opportunity, our ambition is to become the world’s most trusted bank globally, putting customers at the heart of everything we do.

## The Opportunity

HSBC is seeking a Senior Associate Director, Data and Analytics to set technical direction across AI, data and engineering solutions that deliver measurable business value. The role spans strategy, delivery and governance across platforms and products in a highly regulated environment. You’ll establish technical standards and architecture principles that support secure, scalable and reliable systems. Working closely with senior management, product owners and business stakeholders you’ll align technology choices to strategic priorities and outcomes. Success means stronger engineering and delivery practices, well-governed data and AI solutions and consistent compliance with internal standards and external regulations.

## What you'll be doing
- Own the design, delivery and governance of AI, data and engineering solutions that create measurable business value
- Define and implement technical strategy for AI, software engineering and data platforms across the organisation
- Set technical standards, architecture principles and best practices across AI model development, data governance and secure system design
- Guide engineers, data specialists and AI practitioners to strengthen technical practice and delivery culture
- Solve complex cross-domain problems spanning applications, infrastructure, data pipelines and AI systems
- Partner with senior management, product owners and business stakeholders to align technology choices with strategic priorities and business outcomes
- Review system, data and AI designs to ensure they are secure, scalable, reliable and compliant with internal and external standards
- Embed compliance with GCIO standards, enterprise architecture principles and banking regulations across engineering, AI and data delivery
- Advance adoption of emerging capabilities in AI, machine learning, data engineering, analytics and cloud platforms to improve productivity and customer value
- Coordinate across engineering, data, cyber security, risk and operations teams to deliver resilient, governed and high-quality solutions

## What we're looking for
- Bring extensive experience in senior engineering roles delivering AI, data or modern software platforms
- Demonstrate deep expertise across software engineering, cloud architecture, AI/ML, data engineering, analytics and system design
- Show proven experience building large-scale, secure and resilient systems in financial services or another highly regulated sector
- Evidence experience setting technical strategy, governing architecture and delivering engineering transformation
- Demonstrate delivery of complex technical programmes across multidisciplinary engineering, data and AI teams
- Apply strong problem-solving across system-wide, cross-functional and high-complexity topics
- Communicate technical, data and AI concepts clearly to both technical and non-technical stakeholders
- Operate effectively within strict governance, security and control requirements in regulated environments
- Stay hands-on through code reviews, evaluation of AI tools and testing of data-driven solutions
- Apply strong understanding of data quality, data lineage, AI risk, model governance, security and compliance in a banking context

## Building trusted AI and data platforms

This is a chance to set direction for enterprise platforms that underpin how HSBC builds and governs AI and data solutions. You’ll shape standards, influence technology decisions and help teams deliver secure, compliant outcomes that stand up to scrutiny. If you want your work to translate into practical improvements in productivity and customer value this role offers the scope to do it. Apply to help strengthen the foundations for responsible AI and data innovation at scale.

Tech Lead, Software Engineer, AI Engineer