Position: AI Engineer - Generative AI / LLM

STATERA Middle East is looking for an experienced AI Engineer to join a strategic 1-year project in Qatar.

## Key Responsibilities

- Design, build, test, and deploy AI solutions in real-world environments
- Develop Generative AI and LLM-based applications
- Translate business requirements into practical and scalable AI solutions
- Design and optimize prompts and AI workflows
- Evaluate LLM and AI model performance, quality, accuracy, and reliability
- Define and execute AI model evaluation and validation approaches
- Support the integration and deployment of AI solutions into production environments
- Collaborate with business and technical stakeholders throughout the AI solution lifecycle

## Required Experience & Skills

- 3–5 years of hands-on experience in AI Engineering / Machine Learning
- Strong practical experience with Generative AI and Large Language Models (LLMs)
- Strong knowledge of AI/LLM evaluation and testing methodologies
- Experience building and deploying end-to-end AI solutions
- Ability to translate business use cases into working AI applications
- Strong understanding of model performance, validation, and real-world AI use cases
- Proficiency in Python
- Experience with modern AI/LLM frameworks and APIs
- Good communication skills in English

## Nice to Have

- Experience with RAG architectures, embeddings, and vector databases
- Experience with Lang Chain, Llama Index or similar frameworks
- Knowledge of MLOps / LLMOps and cloud environments

Project duration: 1 year

We are looking for candidates who can move quickly through the recruitment process.

## About the Role

We are seeking a highly skilled Assistant IT Project Manager to join our dynamic team. As a Assistant IT Project Manager, you will be responsible for planning, executing, and overseeing projects within the company, ensuring the projects are completed in a timely fashion and within budget. You will coordinate cross-functional teams, manage project resources, and communicate with stakeholders to align their requirements and expectations.

## Responsibilities

- Develop and manage comprehensive project plans, including scope, timelines, resources, and budgets.
- Utilize Agile methodologies to drive iterative development and ensure continuous improvement.
- Serve as the primary point of contact for clients, building strong relationships, understanding their business needs, and providing regular project updates.
- Collaborate with clients and internal teams to gather, analyse, and document detailed business requirements, translating them into actionable user stories.
- Lead and motivate cross-functional teams, including developers, designers, and testers, to achieve project goals.
- Identify and mitigate potential project risks, developing contingency plans as needed.
- Provide regular project status reports to stakeholders, highlighting progress, challenges, and key milestones.

## Qualifications

- Hold a university degree or higher, preferably in IT / Computer Science or a related discipline
- 6 years or above experience as a Assistant Project Manager in the IT industry, PMP certification is a plus
- Vendor House experience is an advantage
- Excellent understanding of IT solutions and services
- Experience with project management in software tools & methodologies
- Strong interpersonal skills and resourceful
- Proven ability to complete projects according to outlined scope, budget, and timeline

## Employment and remuneration

- 5-day working week
- Double pay
- Attractive Performance bonus
- Group medical with Dental & Vaccination
- 14 days AL, Marriage leave, Compassionate Leave, Full paid SL
- Free snacks & beverages
- Full-time

## About WRITER

WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.

Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.

## About the role

Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive – for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions.

This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that’s changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.

We are open to hiring for this role at multiple levels, with compensation ranges scaled to match your experience, expertise, and the scope of the role.

## What you'll do

- Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation
- Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform
- Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment
- Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement
- Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineers
- Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads

## What you need

- 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments
- Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
- Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes
- Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflows
- Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems
- A Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production

## Benefits & perks (US Full-time employees)

- Generous PTO, plus company holidays
- Medical, dental, and vision coverage for you and your family
- Paid parental leave for all parents (16 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Flexible spending account and dependent FSA options
- Health savings account for eligible plans with company contribution
- Annual work-life stipends for:
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Competitive compensation, company stock options and 401k

WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

Compensation Range: $132K - $240K

Iris's Fortune 100 direct client is looking for AI Tester

Please find below Job description and share your updated resume with me.

Position: Senior SDET Engineer

Employment Type: Long term Contract

Hybrid : 4 days office , 1 day work from home

Location: Toronto, ON

Client : Banking

## Key Responsibilities

- 3+ years in software testing or QA automation, with working Python skills
- Hands-on experience testing LLM or GenAI applications
- Strong grasp of LLM concepts: prompts, embeddings, context windows, temperature, RAG
- Experience with eval tools such as DeepEval, Ragas, Promptfoo, LangSmith, or TruLens
- Comfort with API testing and working inside an existing CI/CD setup

## About Iris Software Inc.

With 4,000+ associates and offices in India, U.S.A. and Canada. Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

## About the Role

An international technology organization in Dubai is looking for a Cloud & AI Business Development Associate to support the growth of its emerging technology solutions.

This is an opportunity for an early-career professional with a background in Computer Science, IT or a related field who wants to build experience across AI, cloud computing and technology solutions. The role combines technical learning with customer engagement, market development and commercial activities.

## Key Responsibilities

- Support the promotion and business development of cloud and AI solutions.
- Research market trends, customer needs and potential business opportunities.
- Engage with prospective customers and partners to understand their requirements.
- Help position relevant cloud, AI and MaaS (Model as a Service) offerings based on customer needs.
- Support product presentations, customer meetings and solution discussions.
- Collaborate with technical teams to understand and communicate solution capabilities.
- Maintain records of prospects, customer interactions and business opportunities.
- Assist with ongoing customer follow-ups and relationship management.
- Keep up to date with developments in AI, cloud infrastructure and cloud services.

## Candidate Requirements

- Bachelor’s degree in Computer Science, Information Technology or a related technical discipline.
- 1–3 years of experience in technology, AI, cloud, SaaS, IT services, business development or a similar environment.
- Foundational understanding of AI and cloud technologies.
- Interest in emerging technologies and technology-led business models.
- Strong communication and relationship-building skills.
- Ability to learn technical products and explain concepts clearly to customers.
- Commercially curious, proactive and interested in developing within the AI and cloud technology space.

Responsible for the end-to-end design, development, and optimization of network architecture supporting AI workloads, global content provider connectivity, and hyperscaler integration. The role ensures the operator’s backbone, data centres, and peering ecosystems are AI-ready, delivering high-capacity, low-latency, resilient, and cost-efficient interconnection across national and international domains. This enables next-generation digital content delivery, data localization, and hyperscaler services. The candidate will lead infrastructure evolution, connecting UAE AI data centres, and will drive the adoption of advanced AI technologies and GPU clusters within the network.

## Responsibilities

- Manage and lead the vision for AI-driven network, content and hyperscaler connectivity design and strategies, infrastructure evolution, ensuring readiness for future digital and data demands.
- Manages and directs the efficiency of work requirements to ensure the state-of-the-art formulation and implementation of short and long-term projects for AI network developments, content delivery, and hyperscaler connectivity, respective platforms and systems, and services to meet the requirements of AI demands.
- Manage and oversee network design, capacity, and architecture to ensure KPIs are met, enhance experience, and mitigate network failures.
- Capacity planning, forecasting, and expansions for the IP/RON network and routing to support exponential AI data growth.
- Develop a multi-layer architecture connecting GPU clusters, AI traffic framework, AI data centers, AI traffic domains and segmentation models, and edge nodes through high-capacity IP/Optical fabrics.
- Develop technical frameworks for hosting CDNs, cache nodes, and edge POP nodes and peering models.
- Drive evolution towards AI-native network designs using 400G/800G transport and ultra-low-latency routing.
- Ensure the edge infrastructure integrates seamlessly with core AI compute and hyperscaler zones.
- Define KPIs for latency, throughput, and availability to optimize and enhance traffic localization ratios to reduce upstream transit cost.
- Develop policies for dynamic bandwidth allocation between AI, CDN, and hyperscaler workloads and connectivity. In addition, define routing policies, redundancy, and scaling models.
- Ensure compliance with IPv6, RPKI, and secure BGP practices for all hyperscaler interconnections.
- Coordinate with content and peering teams to localize AI data sources and model distribution points.
- Engage with IP, transport, data center, and hyperscaler teams to unify AI and non-AI infrastructure planning for customer network.
- Engage with global AI cloud providers to ensure alignment with interconnect standards, best practices, and topology designs.
- Act as the technical lead for partnerships with global content and hyperscaler partners.
- Ensure all projects are performed with consistency, reliability, efficiency, and financial compliance with engineering and customer standards, objectives, priorities, guidelines, and procedures.

## Qualifications

- Minimum 10 years of experience in telecom network development, hyperscaler integration, CDNs, and content hosting.
- At least 3 years of experience in AI-centric or high-performance networking environments.
- Strong background in AI infrastructure development, including GPU cluster integration and AI workload optimization.
- Proven project management experience, with a track record of delivering large-scale, multi-region network projects.
- In-depth knowledge of IP/MPLS, transport and access networks, traffic engineering, hyperscaler and cloud technologies.
- Experience with submarine cable systems, global connectivity strategies, and latency-sensitive, secure infrastructure design.
- Familiarity with global AI data centre standards and connectivity requirements.
- Excellent collaboration and communication skills, with the ability to lead cross-functional teams and technical partnerships.
- Strong planning, budgeting, and forecasting skills.

Job Title: AI Evaluation Engineer

City: San Diego

State/Province: California

Posting Start Date: 9/22/26

## Role Overview

Help build and scale the tooling we use to measure how well AI-powered software development tools actually perform. You'll develop evaluation harnesses, automate benchmark runs, and help make sure the results we produce are reproducible and hold up to scrutiny. This is an engineering role, but a lot of the work is about getting the measurement right, not just automating it.

## Key Responsibilities

- Build and integrate evaluation harnesses and automation for software development use cases, including turning real engineering artifacts like merged pull requests into repeatable benchmark tasks.
- Build versioned, repeatable processes to evaluate AI tools, models, and harnesses, with reproducible run environments (pinned dependencies, containerized runs, isolated worktrees) so results stay comparable over time.
- Validate and calibrate evaluation approaches against human judgment, so scores are consistent and correct rather than just repeatable.
- Support execution-based benchmarking across quality, productivity, and efficiency measures, including cost and latency.
- Analyze results across repeated runs, looking at variance, failure patterns, and cost per outcome, and find ways to make the workflows more reliable and more automated.
- Work with engineering and data teams to improve the tooling, and document how the evaluations work and what they found for both technical and leadership audiences.

## Required Skills & Experience

- Strong software engineering background, with real experience building automation, developer tooling, or test and validation systems.
- Coding-agent evaluation: Evaluating AI coding agents that modify code repositories, including validating generated code changes against expected outcomes.
- Evaluation harnesses: Building automated, reproducible evaluation workflows, including test execution, environment setup, and result validation.
- Benchmarking and reliability: Establishing baselines, measuring run-to-run variance, analyzing failures, and ensuring consistent evaluation results.
- Git and CI/CD integration: Working with repository history, branches, pull requests, and automated testing within CI/CD pipelines.
- LLM-as-a-Judge: Using LLMs to evaluate coding-agent outputs, including calibration against human assessments.
- Proficient in at least one general-purpose language such as Python, Java, or JavaScript - the specific language background is flexible.
- Solid working knowledge of Git, including how branches, history, and working trees behave, and of containerization with Docker.
- Experience with APIs, development environments, CI/CD pipelines, and typical engineering workflows.
- Understanding of how AI, LLM, or agent evaluation works and where it goes wrong, such as why a judge can be consistent but still wrong, why a single run can mislead, and how benchmark contamination happens.
- Able to troubleshoot technical problems, think clearly about whether a measurement is valid, and analyze results carefully.
- Hands-on experience using AI coding tools and agentic harnesses such as Claude Code, Devin, or Cursor, and command of the best practices for working with them effectively.

Mandatory Skills: Cloud Product & Platform Testing.

Experience: 5-8 Years.

The expected compensation for this role ranges from $60,000 to $148,500 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

## We Are:

Accenture Song—a new breed of agency that’s all about the Experience. For us, customer experience is not an add-on; it’s foundational to who we are and how we empower our clients. As the world’s largest, most disruptive agency, we drive lasting growth for clients by helping them design, build, and run meaningful experiences that make people’s lives better, more productive, and more meaningful. We do this in three ways: by transforming organizations through standout products and services; by building and delivering award-winning campaigns so brands can engage and communicate creatively with customers at scale; and by using our top-notch skills to pilot, integrate, scale, and run the platforms that underpin the world’s greatest experiences. Visit us here to learn more about what makes us the Experience Agency.

The digital economy has caused a massive increase in the amount and importance of digital content. Digital content and the customer experience it fuels are, together, a vital expression of a brand’s voice and purpose. We help leading brands create and deliver the right content for the right customer at the right time for immersive, relevant experiences. We offer an end-to-end approach to the content lifecycle and cut through the complexity for improved speed to market and relevance, at scale. Our unique tools and services organize, store, and optimize content, including taxonomy, rights and asset management, analytics, and quality assurance.

## Job Description:

Lead and manage end-to-end Contact Center as a Service (CCaaS) implementations, ensuring projects are delivered on time, within scope, and within budget. Collaborate with cross-functional teams to align project goals with business objectives.

Provide Strategic Guidance: Offer expert advice and strategic insights to clients on optimizing their CCaaS platforms to enhance customer experience, streamline operations, and achieve business goals. Stay updated on industry trends to ensure the use of best practices.

Foster Client Relationships: Build and maintain strong relationships with clients, acting as the primary point of contact throughout the implementation process. Ensure client satisfaction by addressing concerns, providing regular updates, and delivering solutions that meet their unique needs

## The work:

- Works in a highly client-facing role to lead the end-to-end delivery lifecycle of complex, global and large-scale Service technology solutions for customer channel solutions & CCaaS solutions
- Develops strong working relationships with the senior management team and identifies follow-on project opportunities
- Manages and contributes to development of the platform migration and global roll out strategy and execution
- Works with software and technology partners to design & deliver Service-focused solutions
- Plans and estimates delivery work with an Agile approach, focusing on project milestones, resource planning (both on-shore and off-shore), scope, budget, risk identification and mitigation planning
- Manages day to day on-shore and off-shore project teams during the project lifecycle
- Manages the project ideation, gathering the high-level business requirements, defining the detailed requirements and process into epics and stories
- Manages experience-led teams in developing strategic vision and creative UI/UX design
- Interacts with client stakeholders for business justification, funding, scope, and timeline
- Contributes to the ongoing development of solution/program offering approaches, methodologies, techniques, business development tools, and growing our resources

Travel: As required for client support.

Location: Primary residency within 90 minutes of an approved Accenture office

## Basic Qualifications:

- 1+ years of experience in Conversational AI, CCaaS, and FDE (Forward Deployed Engineer) skills.
- 3+ years of experience in designing, architecting, and delivering cloud contact center, WFM and analytics platform such as NICE, TalkDesk, Calabrio, Genesys, Salesforce, IFS, Genesys, Sprinklr, Twilio etc.
- 3+ years of experience in Design and implement AI chatbot/ Virtual assistant and define a comprehensive digital roadmap to integrate with cloud contact center platforms
- 3+ years of experience in aligning technology capabilities with contact center benchmarks, quality metrics, agent scorecard etc.
- 3+ years of experience delivering CCaaS technologies which have integrated one or more of the functional capabilities listed below:
- Customer Service Channels (B2C, B2B)
- Cross-channel (Web, Mobile, Voice, Assistant) Service Experiences
- Service Delivery Technology Platforms (Service Center, CRM, Field Service)
- Service Delivery enablement (field worker, 3rd party service management)
- AI powered service operations

## Additional Skills Preferred:

- Experience with both Waterfall and Agile SDLC, implementing large, complex technology platforms.
- Experience with Service channel experience design, implementation, and execution
- Experience in algorithmic decisioning or interactive management
- Experience with defining, designing, and implementing a development architecture leveraging CI/CD principles
- Strong understanding of PCI/PII security and data privacy requirements
- Strong knowledge of project management methodology including the ability to develop detailed work plans and specifications, identify and resolve issues, manage risk, and run team meetings
- Exceptionally strong leadership & communication skills to effectively manage client accounts and multidisciplinary teams
- Experience in a consulting environment with demonstrated record of continuing responsibilities, creativity, and innovation in a complex global scale program (e.g., multi-country, language, brand, etc.)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 11/06/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture

## Role Location Annual Salary Range

California $73,800 to $218,800

Colorado $73,800 to $189,000

Connecticut $73,800 to $189,000

District of Columbia $78,500 to $201,300

Illinois $68,300 to $189,000

Maine $62,800 to $161,000

Maryland $73,800 to $189,000

Massachusetts $73,800 to $201,300

Minnesota $73,800 to $189,000

New York $68,300 to $218,800

New Jersey $78,500 to $218,800

Ohio $68,300 to $175,000

Virginia $68,300 to $201,300

Washington $80,200 to $201,300

## Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

## Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

## Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice.

## Responsibilities:

- End-to-end design and development of AI/ML solutions, leveraging cloud AI services (Microsoft Azure, AWS, Google Cloud)
- Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms
- Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best practices in MLOps, security, compliance, and scalability to support enterprise-grade adoption; partner directly with clients to translate business objectives into technical solutions, aligning with enterprise strategy and measurable outcomes
- Lead workshops and design sessions with executives, business stakeholders, and technical teams to shape AI roadmaps; oversee deliverable quality and timelines, while proactively managing risks and dependencies; mentor and coach junior engineers and consultants, fostering a culture of innovation, technical excellence, and continuous learning
- Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements
- Stay current with emerging AI/ML technologies, frameworks, and tools, and evaluate their applicability for client needs
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

## Qualifications:

- Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
- Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required; Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
- Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships; hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
- Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines; familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
- Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions; knowledge of AI security, data privacy, governance, and ethical AI frameworks
- Strong problem-solving skills with the ability to translate complex technical concepts for executives; excellent verbal and written communication skills, with experience creating client-facing deliverables
- Willingness and ability to travel
- Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M179ADV_3_26

California Salary Range: $153710 - $267030

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Forward Deployed Engineer is the fastest-growing job title in tech — and you don’t need AI experience to claim it. You need to be a solid software developer. SkillStorm takes working developers, pays you through six weeks of intensive AI engineering training, and deploys you to federal and Fortune 100 clients. Earn $95,000–$120,000 your first year — on the fastest on-ramp to the $170K+ that experienced FDEs command.

## The short version

- Paid from day one — including all six weeks of AI engineering training and certification
- $95,000–$120,000 first-year salary plus medical, dental, vision, life insurance, and 401(k)
- Deploy to Fortune 100 companies and federal agencies — the same clients Deloitte, Accenture, and KPMG are racing to staff
- You bring the software fundamentals; we build the AI engineer. No AI experience required — we train you
- U.S. citizenship required. Already hold a Secret or Top Secret clearance? You’re at the front of the line

## Why this role, why now

- FDE job postings grew more than 700% year-over-year, while the pool of qualified candidates grew only a fraction of that. Companies can’t find these engineers — so we build them.
- Experienced Forward Deployed Engineers average $170K+ base salary nationally. This program is the fastest on-ramp to that trajectory.
- Firms like Deloitte, Accenture, KPMG, and the federal government’s largest consulting partners are all racing to staff this role. That’s exactly where SkillStorm deploys.

## Who should apply

This role was built for working software developers ready to move into AI. If your title today is Java Developer, Software Engineer, .NET Developer, C# Developer, Python Developer, JavaScript Developer, Node.js Developer, Full Stack Developer, Backend Developer, API Developer, Application Developer, Software Consultant, or Systems Integration Engineer — you already have the foundation. We provide the AI engineering training. You don’t need AI experience to apply; you need to be a solid developer who wants to become the engineer companies can’t find.

## What you’ll do

After six weeks of paid, team-based AI engineering training on real-world projects, you’ll deploy to our government and enterprise clients ready to have an impact on day one:
- Build and deploy agentic AI applications inside the client’s cloud environment
- Own delivery of a client-facing capability end to end — from problem framing through deployment and handoff
- Work embedded with client engineers and stakeholders inside their environment, tooling, and constraints
- Translate ambiguous business needs into scoped specifications and defensible architecture
- Apply AI-assisted development tooling to accelerate delivery and build AI-enabled capability where it fits the client mission
- Set patterns other engineers follow: reference implementations, coding standards, review practices
- Brief client stakeholders on progress, tradeoffs, and risk; produce documentation that outlives the engagement

## What you need

- 2+ years of professional experience as a software developer (full-time employment)
- Proficiency in at least one of: Java, C#, Python, or JavaScript/Node.js. Framework experience (Spring Boot, .NET Core, Django, Express, or similar) is a plus — not a requirement
- Experience building or consuming REST APIs
- Working knowledge of SQL and relational databases (Oracle, Postgres, SQL Server, or similar)
- Bachelor’s degree in a technical field
- U.S. citizenship and eligibility for a Secret security clearance
- Willing to relocate
- Excellent verbal and written communication skills for client-facing work
- W2 employment through SkillStorm; not a C2C opportunity

## Nice to have (we’ll train the rest)

- Consulting or client-facing delivery experience
- Agile/Scrum delivery with Jira, Azure DevOps, or similar
- DevOps, CI/CD, cloud platforms, web UI development, or test automation
- Exposure to AI coding tools (Copilot, Claude, Cursor) — AI experience is not required; we train you

## Security clearance: your fast lane

U.S. citizenship and eligibility for a Secret security clearance are required. Already hold an active Secret or Top Secret clearance? You’re exactly who we’re looking for — cleared developers and transitioning veterans with software experience move to the front of the line. Don’t have one yet? If you’re clearance-eligible, we’ll guide you through the process.

## Compensation

Earn between $95,000 and $120,000 your first year, plus full benefits and 401(k). Market data puts experienced Forward Deployed Engineers at $170K+ average base — this program is your fastest on-ramp to that trajectory, with compensation that grows with certifications and deployments.

## Where SkillStorm stands out

- Paid, enterprise-level AI engineering training and certification — you earn while you learn
- Deployment to Fortune 100 companies and federal agencies
- Health, Vision, Dental, and Life Insurance with 401(k)
- Continuous mentorship and support throughout your deployment

## About SkillStorm

Founded in 2002, SkillStorm was built on the mission of accelerating careers in high-demand technologies. We build customer-ready technology workforces for top Fortune 100 companies, government, and system integrators within the U.S. Through collaboration with our software partners and customers, we create and advance purpose-built technology experts with the custom tech stacks, clearances, certifications, and location requirements of our clients. As a result, our clients realize their business initiatives faster with Day-One effective technology teams at scale.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EOE, including disability/vets.

By answering 'yes' in the question on the next page, you provide express written consent, as defined under the TCPA and applicable state law, authorizing SkillStorm and its representatives to send you automated text messages (SMS/MMS) at the phone number(s) you provide, including any wireless or mobile number. These messages may relate to job opportunities and recruitment activities. Message and data rates may apply. Consent is not a condition of employment. Reply STOP to opt out.

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AI Trainer - Spanish (Task-Based, Remote, Flexible)

## About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

## The Opportunity

We are looking for fluent Spanish speakers to help train the next generation of AI models - through real conversation. You'll join live video calls with other Spanish-speaking participants, chatting naturally about everyday topics while your conversation is used to help AI models better understand how people actually speak.

This is a genuinely interesting way to shape how AI understands human conversation, one call at a time - your natural way of speaking directly helps these models learn to communicate more like a real person.

This is a task based AI Training job that allows participants to choose their schedule and how much they work - there's no fixed schedule and no minimum hours requirement. Once you have joined the talent pool, you will be asked to complete a short assessment on your language skills. Passing this assessment also opens the door to similar paid projects in future.

## Tasks

- Video Conversations: Have live, natural conversations in Spanish with other participants over video call.
- Natural Dialogue: Discuss everyday topics and let the conversation flow as it would with anyone else - no scripts, no performance.
- Data Contribution: Your conversations are recorded and used to help AI models learn natural speech patterns, tone, and cultural nuance.

Tasks are posted individually - you'll see task details, time estimate and pay before deciding whether to take one on.

## What You'll Bring

- Fluency in Spanish: you must be a fully fluent Spanish speaker.
- Communication: fluent English for instructions and reporting.
- A natural conversationalist: comfortable chatting easily and holding a flowing conversation over video call with someone new.
- Technical Setup: a quiet environment and good-quality headphones/microphone, essential for clear audio and accurate data collection.
- Soft Skills: friendly, easygoing, and comfortable talking with new people; backgrounds in teaching, interpreting, customer service, or linguistics are a plus.

## Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your language expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

## Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

## Skills

Artificial Intelligence (AI), Customer Support/Service, Data Collection, English Language, Language Teaching, Linguistics, Organizational Development/Management, Scripting (Scripting Languages), Spanish Language, Training/Teaching, Work From Home

Prolific Academic Ltd

AI Engineer - Generative AI​/LLM

Key Responsibilities

Required Experience & Skills

Nice to Have

AI Engineer - Generative AI/LLM