Sia is seeking a motivated and analytical UAE National with a background in Data Science, Artificial Intelligence, or related fields to join our consulting team in the Middle East. This role is ideal for fresh graduates or candidates with up to 1 year of experience who are passionate about leveraging data and AI to solve complex business challenges. You will work closely with senior consultants and clients to support strategy development, data analysis, AI use-case identification, and digital transformation initiatives. Key Responsibilities Support consulting engagements across strategy, digital transformation, and AI initiatives Analyze structured and unstructured data to generate actionable insights Assist in identifying AI and automation opportunities for clients Develop dashboards, reports, and presentations for client stakeholders Conduct market research, benchmarking, and industry analysis Support development of business cases for AI-driven solutions Participate in client meetings and workshops Prepare high-quality presentations and documentation UAE NationalBachelor's degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Engineering, or related field0-1 year of experience (consulting exposure preferred)Strong analytical and problem-solving skillsBasic understanding of machine learning concepts and data modelingFamiliarity with tools such as Python, SQL, Power BI, Tableau, or similarStrong communication and presentation skills (Arabic & English is a must)High motivation to build a career in management consulting

Job title: Founding Software Lead — Health AI

Company: Zoom My Life Health AI

Location: San Jose, California

Workplace type: Hybrid (Fulltime Preferred) — San Jose / San Francisco Bay Area

Job functions: Engineering, Information Technology, Product

Primary skills: Flutter, Dart, Firebase, Google Cloud, Cloud Firestore, Mobile Development, Software Architecture, AI/ML, Cybersecurity, Healthcare IT, FHIR

About Zoom My Life Health AI

Zoom My Life Health AI is building a secure, intelligent mobile and web platform designed to help people better understand, organize and manage their health information.

Our vision is to make personalized health support more accessible across countries, languages and healthcare systems. The platform will be built with Flutter for mobile and web and Firebase and Google Cloud for backend services.

We are seeking a highly hands-on Founding Software Lead to transform this vision into a secure, scalable and production-ready global platform.

This is not a conventional engineering-management position. During the early stage, you will personally architect, code, test and deploy the product while helping define company strategy, product priorities and the future engineering organization.

What You Will Own

• Architect and develop Flutter applications for iOS, Android and web.

• Design a secure Firebase and Google Cloud backend using Firestore, Authentication, Cloud Functions or Cloud Run, Storage, messaging and related services.

• Build authentication, consent, user-profile, health-data, notification and administrative workflows.

• Establish scalable data models, APIs, authorization controls, audit trails, rate limits and monitoring.

• Prepare the platform for significant user growth through load testing, performance engineering, caching, observability and cloud-cost management.

• Build responsible AI capabilities with model evaluation, safety guardrails, human escalation, output monitoring and clear user disclosures.

• Prevent sensitive health information from being exposed through logs, analytics, crash reports or unauthorized third-party services.

• Implement privacy and security by design, including encryption, least-privilege access, data minimization, retention, export and deletion.

• Help prepare the product for applicable requirements such as HIPAA, GDPR, health-data breach rules and medical-device regulations.

• Design for international deployment with localization, multilingual support, accessibility, jurisdiction-specific consent and data-residency considerations.

• Evaluate healthcare interoperability using standards such as HL7 FHIR.

• Establish CI/CD, automated testing, code review, backup, disaster-recovery and incident-response processes.

• Recruit and lead future mobile, backend, AI, QA, DevOps and security engineers.

• Participate in product strategy, investor demonstrations, fundraising, technical partnerships and due diligence.

What We Are Looking For

• Typically 7+ years of professional software-engineering experience, with exceptional candidates evaluated based on demonstrated accomplishments.

• At least 3 years of substantial production experience with Flutter and Dart.

• Strong production experience with Firebase and Google Cloud.

• Experience personally shipping mobile or web products used by external customers.

• Strong understanding of application architecture, APIs, databases, distributed systems and cloud infrastructure.

• Experience building systems that handle sensitive or regulated information.

• Practical knowledge of authentication, authorization, encryption, secrets management, monitoring and secure development.

• Experience integrating AI or large-language-model capabilities into production applications.

• Ability to remain highly hands-on and write production code during the company’s early stage.

• Strong written communication, documentation and technical decision-making skills.

• Experience with digital health, healthcare IT, fintech or another regulated industry is strongly preferred.

• Experience with HIPAA, GDPR, FHIR, medical-device software or healthcare integrations is an advantage.

• Previous technical co-founder, founding engineer or early-stage startup experience is highly valued.

Founding Member Profile

You may be a strong fit if you:

• Want to build a company rather than simply complete assigned development work.

• Are comfortable making progress with limited resources and incomplete information.

• Balance development speed with patient safety, privacy and security.

• Communicate risks and difficult technical realities honestly.

• Are prepared to remain involved as a long-term technology leader.

• Can commit at least 30 hours per week during the pre-funding development phase, with full-time commitment preferred.

• Can regularly participate in founder and product sessions in the San Jose or broader Bay Area.

Compensation and Founder Structure

This is an equity-first technical founder opportunity. No cash salary is currently available.

The selected candidate will receive founder equity, subject to an agreed equity range, vesting schedule, intellectual-property assignment, commitment level and formal founder agreements. Cash compensation is planned after a defined financing or revenue milestone but is not guaranteed until formally approved and funded.

Candidates should independently evaluate the financial and professional risks associated with joining a pre-funding startup.

How to Apply

Please apply with:

• Your résumé

• GitHub, portfolio, App Store, Google Play or production-product links.

• A description of what you personally designed and built.

• Your Flutter, Firebase, Google Cloud and AI experience.

• Any healthcare, security, compliance or regulated-industry experience.

• A brief explanation of why you want to join Zoom My Life Health AI as a technical co-founder.

Zoom My Life Health AI is committed to providing equal opportunities to qualified candidates and building an inclusive founding team.

Description

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

A&M is seeking an Enterprise AI Solutions Engineer to sit at the intersection of engineering, product, and practical AI delivery. In this role, the successful candidate will design, build, and implement intelligent technology solutions that help organizations move faster, eliminate manual work, and drive measurably better business outcomes. As AI moves from experimentation to production across the enterprise, this role serves as the critical bridge between technical execution and business impact.

This is a senior technical role that carries both deep engineering ownership and direct internal client responsibility. The Enterprise AI Solutions Engineer will work closely with product and business stakeholders to understand requirements, shape solutions, and oversee delivery from concept to production. The role is supported by internal developers as well as external development resources, requiring strong organizational and coordination skills to maintain alignment across teams. Exceptional communication, collaboration, and interpersonal skills are essential, as the Tech Lead serves as the primary technical authority and point of accountability for stakeholders at all levels.

How You Will Contribute

• Drive the Technical Solution: Own end-to-end technical delivery across frontend, backend services, APIs, and cloud infrastructure. The Enterprise AI Solutions Engineer serves as the primary technical owner accountable for quality, reliability, and production readiness. The role demands a deep enough technical command to provide meaningful guidance and oversight across the full development team.

• Product and Business Collaboration: Partner closely with product managers and business line leads to identify where technology and AI can deliver the greatest impact. Contribute to requirements definition, challenge assumptions where appropriate, and provide a grounded engineering perspective in strategic planning discussions. Communicate technical trade-offs clearly and credibly to non-technical stakeholders.

• Oversee Implementation: Drive delivery from design through deployment. Manage and coordinate the work of internal developers and external development partners, ensuring alignment on requirements, standards, and delivery expectations. Define and enforce engineering practices including code review, testing, and release gating to maintain quality and delivery velocity across all teams.

• AI Use Case Development: Work with leadership to Identify, design, and develop AI-powered solutions that improve organizational efficiency and reduce manual effort. Collaborate with business and product partners to assess where AI can deliver the most meaningful value, then lead the effort to bring those opportunities to production as reliable, scalable tools and workflows.

• Stakeholder Communication: Maintain clear and consistent communication across all levels of the organization, from engineering teams to executive leadership. Frame problems with precision, articulate technical decisions in accessible language, and ensure all parties remain informed and aligned throughout the project lifecycle. Build trust with internal clients through consistent delivery and proactive communication.

• Engineering Standards and Mentorship: Establish and uphold development practices, CI/CD pipelines, documentation standards, and code quality expectations.

• Problem Discovery: Proactively identify bottlenecks and unmet needs through close partnership with product and business stakeholders. Apply sound prioritization judgment to focus efforts on initiatives that deliver measurable impact, and bring structure and clarity to ambiguous or evolving problem spaces.

• Management: Lead and off shore teams to create architecture and development

Qualifications

• 10+ years of full stack engineering experience, with at least 2 years in a tech lead or solution architect capacity.

• Strong background across frontend, backend services, APIs, and cloud infrastructure, with demonstrated ability to guide and evaluate the work of others.

• Proven experience leading and coordinating development teams, including internal engineers and external vendors or contractors.

• Designed and deployed data and AI solutions in Azure cloud

• 2 – 5 years of experience with Generative / Agentic AI.

• Demonstrated background in solution architecture, including the design of distributed systems, scalable integrations, and multi-team delivery models.

• Hands-on experience building AI-powered applications, including LLM integrations, RAG architectures, vector databases, embeddings, and modern AI frameworks and SDKs.

• Demonstrated ability to engage directly with product and business stakeholders, from requirements gathering through implementation oversight.

• Exceptional communication and interpersonal skills, with the ability to engage credibly across engineering, product, and business leadership, adapting communication style to the audience.

• Demonstrated ability to operate effectively in ambiguous environments, establishing structure and clarity where requirements are not fully defined.

• Knowledge of enterprise security standards including SSO, SAML, OIDC, audit logging, and compliance controls is a plus.

Why this role

This is a high-impact role for a senior technical leader who is motivated by outcomes, not just execution. The Enterprise AI Solutions Engineer will have a meaningful seat at the table alongside product and business partners, contributing to decisions about what gets built and why. For candidates who are energized by leading through complexity, integrating AI into real-world business operations, and delivering work that makes a measurable difference, this role represents a compelling opportunity.

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M’s benefits programs.

The salary range is $200,000- $225,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance.  Please ask your recruiter for details.

Culture & Values

At Alvarez & Marsal, our core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity guide everything we do, shaping a culture rooted in entrepreneurship, impact, and integrity. We trust our people to take ownership early, contribute to meaningful challenges, and drive results that matter. We empower growth and champion diverse perspectives. Above all, we value doing the right thing. For those ready to roll up their sleeves, lead with integrity, and be difference makers, this is where it starts.

Equal Opportunity Employer

It is Alvarez & Marsal’s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&M policy statements and additional information by region here.

Unsolicited Resumes from Third-Party Recruiters

Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

Job Type

Regular

Assistant General Counsel, AI, Emerging Technologies, & Strategic Agreements

The RAND Corporation’s Office of the General Counsel (OGC) is seeking a highly motivated, professional attorney to join our Legal Strategy & Advancement Team as the Assistant General Counsel focusing on AI, Emerging Technologies & Strategic Agreements.

Opportunity Summary

Reports directly to the Vice President, General Counsel, and Corporate Secretary.

Your Core Responsibilities Would Include

• technology transactions involving AI and other emerging technologies;

• drafting and negotiating commercial contracts, IP agreements, and licensing arrangements;

• helping develop new ways of leveraging RAND’s IP; and

• addressing novel challenges as they arise.

We Are Seeking An Attorney With

• Practical experience using AI tools to provide timely, accurate legal advice, with a continuous improvement mindset and enthusiasm for exploring new AI capabilities;

• A focus on helping clients identify risks and opportunities, and on finding innovative solutions to problems;

• Comfort with wearing “multiple hats” and in building legal infrastructure from the ground-up; and

• Passion for the legal subjects on which the attorney advises.

About RAND OGC

We are a high-performing team of talented legal professionals that support the entire enterprise – everything we do is for the purpose of enabling RAND to deliver on its mission. While each of our team members has specialist skills, we are also intellectually curious generalists who engage across the full range of issues and opportunities experienced by RAND.

Even as RAND researchers leverage and evaluate the most advanced frontier AI models and capabilities in tackling the world’s most complex public policy challenges, our team has fully adopted leading edge AI legal tools to enhance and advance our legal services – with continuous exploration of new capabilities and a willingness to challenge longstanding assumptions and practices. We combine this with high levels of engagement across the organization and collaboration within the team and with the people we support, enabling us to confidently provide thoughtful, practical, and actionable advice at the speed of a fast-moving organization.

RAND OGC has three levels of attorney positions: Counsel, Assistant General Counsel, and Associate General Counsel, reflecting progressively increasing levels of established skill, experience, and responsibility.

The Role

Responsibilities

As part of an OGC team focused on advancing RAND’s mission through innovative solutions, the primary responsibilities of this role will include:

• Advising on technology transactions and emerging technology matters, including artificial intelligence, digital assets, data use, and related legal issues affecting RAND’s research and operations;

• Drafting, negotiating, and managing a wide range of commercial agreements, including licensing agreements, NDAs, vendor agreements, technology agreements, and similar transactions;

• Advising on intellectual property matters, including IP strategy, protection of RAND’s IP assets, patents, and negotiation of IP-related provisions in research and commercial agreements;

• Advocacy with research sponsors on behalf of RAND in conjunction with research division leadership, including periodic in-person visits to sponsor locations;

• Collaborating with the Director of Contracts and other RAND operations personnel to establish and update high-quality, agile processes for the review and negotiation of contracts and agreements;

• Proactively identifying risks and working with stakeholders to design and implement solutions;

• Tasking and directing outside counsel as required;

• Advising staff on compliance with applicable laws and regulations; and

• Special projects assigned by the General Counsel.

Other Responsibilities May Include

• Advising RAND’s Development function with respect to the terms of charitable gifts and grants;

• Advising and training on export control and trade compliance matters, including ITAR, EAR, and related regulatory frameworks applicable to RAND’s domestic and international activities, including AUKUS; and

• Advising on federal government contracting matters, including FAR/DFARS compliance and related procurement issues.

RAND’s OGC roles tend to involve a unique combination of responsibilities – in our experience no candidate (even the ones we hire!) ever checks every single box. If you’re excited about this role, think you have what it takes, and are ready to learn, we encourage you to apply.

Qualifications

The requirements for this Assistant General Counsel role are as follows:

Required

At least six (6) years of experience as a practicing attorney with some combination of substantive experience in technology transactions, intellectual property, commercial agreements, or related transactional areas;

Detail-oriented, works well under pressure, and has an affinity for RAND’s Mission;

Proven problem-solver who takes ownership of assigned areas of responsibility;

Demonstrated ability to confidently provide sound judgment even in ambiguous situations;

Collaborative, collegial, and skilled at building consensus with diverse professional groups;

Demonstrated desire to take on increasing levels of responsibility and confidence to engage in novel legal issues that may be outside prior experience;

Ability to identify priorities and adjust as necessary to meet unanticipated needs; and

Ability to travel occasionally to other RAND offices (primarily in the U.S.).

Preferred / “Plus” Factors

Experience working in-house for a technology company, research institution, or organization engaged in emerging technology work;

Experience working for (or with) a non-profit organization; and/or

Substantive Experience Pertaining To Any Of The Following

• federal government contracting, FAR/DFARS compliance, or government procurement matters;

• export control regulations (EAR, ITAR) or trade compliance programs;

• cybersecurity;

• any of the “other responsibilities” described above

Education & Licensing

J.D. and licensed to practice law (in good standing).  If not licensed to practice law in the state of employment, must qualify under the Supreme Court of Virginia’s Rule 1A:5 or the requirements for Registered In-House Counsel for the State of California (as applicable).  Licensure in California, Virginia, Pennsylvania, D.C., or New York is a plus.

Security Clearance

This position requires the ability to obtain and maintain a U.S. Government Security Clearance and DHS Fitness. Accordingly, U.S. citizenship is required.

Location

This role is based in either RAND’s Arlington, VA (Washington DC area) office or Santa Monica, CA (Los Angeles area) headquarters and is eligible for RAND’s hybrid work environment. Candidates should expect to work from a RAND office about three days per week on average.

Salary Range:  $177,500 - $235,000

RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate’s work experience, education/training, skills, expertise; and internal equity. The salary range includes base pay plus RAND’s sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.

Equal Opportunity Employer

Axos Bank

Target Range:

$70,304.00 /Yr - $93,000.00 /Yr.

Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.

Eligible for an Annual Discretionary Cash Bonus Target: 10%

Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%

These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.

About This Job

We are seeking an experienced Conversational AI Engineer to design, build, and support advanced conversational solutions across our omnichannel ecosystem. This role works primarily within the Google CCAS suite, including Dialogflow Conversational Agents, and GCP, and plays a critical role in both production support and platform enhancements.

The position carries a strong emphasis on custom development, system integrations, and the delivery of scalable, secure, and reliable conversational AI solutions. This role is ideal for an engineer who is comfortable working across the full solution stack, from conversational design through backend services and cloud infrastructure.

Responsibilities:

Conversational AI Platform Development:

• Design, build, and support conversational AI solutions across omnichannel platforms, with a primary focus on the Google CCAS suite, including Dialogflow Conversational Agents.

Production Support & Reliability Engineering:

• Provide production support for conversational platforms and supporting services by troubleshooting conversational logic, webhook failures, backend integration issues, logs, and monitoring dashboards.

• Perform root-cause analysis for defects, outages, and performance issues, and implement long-term corrective solutions.

• Define and uphold production readiness standards, including observability, reliability, performance, scalability, and cost efficiency for conversational and AI services.

Architecture & Custom Development:

• Design and implement microservices-based architectures to support conversational AI, integrations, and business workflows.

• Create reusable frameworks, shared libraries, and common components to accelerate development and promote consistency across conversational solutions.

Systems Integration & API Engineering:

• Design and implement secure API integrations, including authentication and authorization flows, error handling, data transformation, middleware services, and proxy layers.

Documentation, Collaboration, & Technical Leadership:

• Create and maintain technical documentation and architectural artifacts to support knowledge sharing and long-term maintainability.

• Collaborate with product, business, and engineering stakeholders to translate requirements into well-architected technical solutions.

• Provide technical leadership by contributing to architectural decisions, evaluating vendor solutions, and leading proof-of-concept (POC) initiatives.

• Stay current with advancements in conversational AI, cloud services, and AI/ML technologies through experimentation and continuous learning.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.

• 3+ years experience in software development, cloud platforms/architecture, or related IT role.

• Cloud Architecture: Preferably hands-on experience with Google Cloud Platform (GCP) services including Cloud Run, API Gateway, Cloud Storage, BigQuery, and Vertex AI, or similar cloud architecture experience.

• Software Development: Strong proficiency in programming, preferably with Python and JavaScript, and experience building backend services.

• Strong analytical, problem-solving, and communication skills, with the ability to translate ambiguous requirements into actionable technical solutions.

Axos Employee Benefits May Include:

• Medical, Dental, Vision, and Life Insurance

• Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)

• HSA or FSA account and other voluntary benefits

• 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan

• Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading

About Axos

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We’re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.

Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).

Learn more about working at Axos

Pre-Employment Background Check and Drug Test:

All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.

Equal Employment Opportunity:

Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Job Functions and Work Environment:

While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.

The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

E-Verify and Right to Work Notices

Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.

IER Right to Work Poster (English/Spanish)

E-Verify Participation Poster (English/Spanish)

AI Architect/Lead Consultant (NLP / Transformers)

Location: Calgary (Onsite)

Duration: 12 month

Experience: 8–10 Years

Role Overview: We are looking for an experienced AI Engineer (NLP / Transformers) to design and build intelligent systems capable of reading, interpreting, and contextualizing contract documents alongside user inputs

This role focuses on leveraging transformer-based models, embeddings, and retrieval architectures to enable deep document understanding and context-aware reasoning, particularly within domain-specific datasets such as railroad tariff documents

The ideal candidate will bring strong expertise in LLMs, semantic search, and contextual memory frameworks, enabling the system to learn from historical data and apply that knowledge to new documents

Key Responsibilities

• Design and implement transformer-based NLP models for document understanding and interpretation

• Build systems that can ingest, process, and extract insights from contract documents

• Develop embedding-based semantic search and retrieval mechanism

• Implement contextual memory architectures (e.g., RAG, vector databases) to enable learning from previously processed documents

• Enable context-aware reasoning by combining user inputs with historical document knowledge

• Handle and model domain-specific terminology, especially railroad tariff language (e.g., T3 slips)

• Fine-tune and optimize LLMs for domain-specific use cases

• Collaborate with data engineering teams to integrate models into scalable pipelines

• Ensure model accuracy, explainability, and performance optimization

• Conduct experimentation, prototyping, and PoC development

Key Deliverables

• NLP-based document understanding solution (contracts + user inputs)

• Embedding models and semantic search implementation

• Contextual memory / retrieval architecture design

• Fine-tuned transformer models for domain-specific use

• Evaluation metrics, accuracy benchmarks, and validation reports

• PoC artifacts and technical documentation

Required Skills & Qualifications:

• Strong experience with transformers / LLMs (e.g., BERT, GPT-based models)

• Expertise in embeddings and semantic search frameworks

• Proficiency in Python, with hands-on experience in:

--- PyTorch

---TensorFlow

• Experience in NLP for document understanding (contracts, legal text, structured extraction)

• Knowledge of retrieval-based architectures (e.g., RAG, vector DBs like FAISS, Pinecone)

• Experience building contextual memory systems

• Strong understanding of model fine-tuning, evaluation, and optimization

Preferred Qualifications

• Experience working with legal, contract, or tariff-based datasets

• Exposure to railroad/logistics domain data

• Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex)

• Understanding of data pipelines and production ML systems

Job Overview:

We are seeking an AI Engineer to join our AI Strategy & Experience team, focused on rapidly designing, developing, and validating AI-powered solutions through proof-of-concepts (POCs) and accelerated delivery models. This role plays a critical part in AI AMP engagements and agentic sprint initiatives, where we combine human expertise with AI tools and platforms to deliver tangible, high-impact solutions in compressed timeframes.

The AI Engineer will work at the intersection of strategy, design, and engineering to build agent-driven applications, generative interfaces, and intelligent experiences that redefine how users interact with digital systems. This includes developing LLM-powered capabilities, orchestrating agents, and integrating enterprise systems to support emerging Agentic Customer Experience (ACX) patterns.

Responsibilities

The AI Engineer is responsible for building and iterating on functional AI solutions that demonstrate business value and technical feasibility. This includes developing POCs, contributing to reusable accelerators, and supporting the evolution of production-ready architectures.

You will design and implement AI-driven features including LLM integrations, agent workflows, retrieval-augmented generation (RAG), and multimodal interfaces. This role requires hands-on development across the full lifecycle, from rapid prototyping through testing and refinement as part of structured sprint methodologies.

You will collaborate closely with strategists and designers to translate experience concepts into working solutions, ensuring alignment with ACX principles and generative interface patterns. This includes contributing to agent orchestration, service integration, and architecture planning activities that enable intelligent, adaptive user experiences.

A core part of the role is continuous experimentation and iteration, using telemetry, testing, and user feedback to refine solutions and inform future backlog development.

Qualifications

• Strong proficiency in modern programming languages such as Python or TypeScript, with experience building AI-enabled applications and services.

• Hands-on experience with large language models, prompt engineering, and retrieval techniques such as RAG, including the ability to design, test, and improve AI outputs.

• Experience working with agent-based architectures, including orchestration patterns, tool usage, and multi-agent workflows.

• Familiarity with APIs, cloud services, and system integration patterns required to connect AI capabilities with enterprise platforms and data sources.

• Experience developing generative interfaces or conversational experiences that support dynamic, multimodal, and intent-driven interactions.

• Understanding of testing, observability, and performance optimization for AI systems, including evaluation of model outputs and user experience outcomes.

• Ability to operate in rapid, iterative environments, delivering high-quality outputs within compressed timelines such as agentic sprints.

ABOUT THE TEAM

Our Experience Design team helps global brands deliver exceptional, human-centered experiences across every screen, device, and channel. We blend strategy, creativity, and user insights to craft digital experiences that drive customer satisfaction, elevate brand perception, and deepen engagement.

WHAT WE BELIEVE

At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special.

We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet.

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Disability Accommodations:

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Applications will be accepted until the position is filled or the posting is removed.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $73,008 to $170,640. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in benefits overview

Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.

About UsPerficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.

Company Description Synergech is a cross-border technology solutions provider specializing in digital and business process solutions for a diverse range of clients. The company focuses on automating and streamlining processes to improve efficiency, ensure compliance, and reduce operational costs. Synergech leverages state-of-the-art digital services to support organizations through end-to-end transformation journeys. By using cutting-edge tools and technologies, the company helps clients enhance customer engagement and deliver seamless omnichannel experiences across the entire customer lifecycle.

Role Description The Principal Architect – AI/ML will lead the design and implementation of end-to-end AI and machine learning architectures that power Synergech’s digital and business process solutions. This full-time, on-site role in Raleigh, NC involves working closely with product, engineering, and business stakeholders to define AI/ML roadmaps, select appropriate technologies, and ensure solutions are scalable, secure, and aligned with client needs. Day-to-day responsibilities include architecting data pipelines and model deployment frameworks, reviewing solution designs, guiding teams on best practices, and performing technical due diligence for new initiatives. The Principal Architect will also mentor AI/ML engineers and data scientists, establish coding and model governance standards, and stay current with emerging tools and frameworks to continuously improve the organization’s AI capabilities.

Qualifications

• Strong expertise in AI/ML solution architecture, including designing end-to-end systems for model development, deployment, monitoring, and lifecycle management.

• Hands-on experience with machine learning and deep learning techniques, such as supervised and unsupervised learning, NLP, recommendation systems, and computer vision (as relevant to business needs).

• Proficiency with common AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Spark ML, MLflow, Kubeflow, or equivalent platforms).

• Solid background in data engineering concepts, including data modeling, ETL/ELT pipelines, streaming/batch processing, and integration with data lakes and warehouses.

• Experience designing cloud-native AI/ML solutions on major cloud platforms (e.g., AWS, Azure, or GCP), including use of managed AI/ML services and containerization/orchestration.

• Strong software engineering practices, including object-oriented programming, version control, CI/CD for ML workflows, testing, and code review.

• Proven ability to translate business requirements into AI/ML solutions, including stakeholder engagement, requirements gathering, and clear communication of technical trade-offs.

• Demonstrated leadership in mentoring technical teams, setting standards, and driving architectural decisions in complex, multi-team environments.

• Excellent problem-solving skills, with a focus on performance, scalability, security

About Us

Leela Longevity & Wellbeing is a Calgary-based longevity and wellbeing practice. We combine deep assessment, science-led programming, and personal care to help members improve how they feel and function over time. We are growing, and we are investing in the systems and the people behind the experience.

About the role

We are hiring an AI Associate to help us run a smarter, smoother operation. This is a hands-on, entry-level role for someone who likes connecting tools, working with data, and improving how things actually work for members and staff. You will report to the Owner and work across the business, with a focus on three areas: integrating our systems and dashboards, designing better customer experiences, and using AI tools, Claude in particular, to help the whole team work better.

What you will do

• Connect the tools we already use, from booking and CRM to payments and intake, so information flows cleanly and the team works from one clear view

• Build and maintain dashboards that turn member and operations data into insight people can act on

• Map the member journey end to end, find the friction points, and design and test practical improvements

• Use Claude as a daily working partner to draft, analyze, and solve problems faster, and help teammates build good habits with it

• Document how our systems fit together so the business does not depend on any one person’s memory

• Spot where automation or better tooling would save time, and propose fixes the team can actually use

• Handle member and operational data with care, and flag anything that needs a privacy review

What you will bring

• Comfort connecting tools and working with data, whether through spreadsheets, dashboards, or light no-code integrations

• Fluency with AI tools and real interest in using Claude as a daily working partner

• An instinct for customer experience, where you notice friction and care about making things better for real people

• Clear communication and strong attention to detail

• Sound judgment about when to trust AI output and when to check it

• Discretion and care with confidential and personal information

• An interest in health, longevity, or wellbeing is a plus, not a requirement

We care more about what you can do than where you learned it. A relevant diploma or degree is welcome but not required. Proficient students and recent graduates are encouraged to apply.

Confidentiality and responsible AI

We work with sensitive personal and health information, and protecting it is central to this role. You will follow our privacy and confidentiality practices, handle member data with care, and use AI responsibly and in line with Alberta privacy law (PIPA). We will train you on our standards, and we expect you to take them seriously from day one.

The details

• Full-time

• Reports directly to the Owner

How to apply

Apply through Indeed with your resume and a short note about a tool you have connected, a dashboard you have built, or a problem you have solved with AI. Real examples matter more to us than a polished cover letter.

Pay: From $60,000.00 per year

Work Location: In person

JOB DESCRIPTION

Job Description

• Please note: This position is onsite and not remote.

Candidates must be based in the Houston area, as relocation assistance is not provided.

Only individuals authorized to work in the U.S. without sponsorship will be considered. *

Job Title: Senior AI Data Analyst

Job Type: Contract (this role is a 12-month assignment)

Job Salary: $52-$54/hour

Job

Schedule: M-F, 40 hrs/week

Job

Location: Houston, TX 77092

Position Overview

We are seeking a Senior AI Data Analyst to lead the design, development, and deployment of advanced analytics and artificial intelligence solutions in a large, data-driven public service environment.

This role plays a critical part in modernizing operations through responsible use of AI, improving service delivery, increasing efficiency, and supporting evidence-based decision-making.

The ideal candidate blends strong technical expertise with the ability to translate complex insights into actionable strategies for leadership and stakeholders.

Key Responsibilities

AI & Advanced Analytics

• Design, build, and deploy machine learning models, predictive analytics solutions, NLP tools, and AI-driven automation

• Lead full lifecycle model development: data acquisition, feature engineering, training, validation, deployment, and monitoring

• Apply responsible AI practices to ensure fairness, explainability, and transparency

Data Strategy & Governance

• Maintain data quality standards, metadata practices, and model documentation

• Partner with IT and cybersecurity teams to ensure secure handling of sensitive data

• Support development of AI governance, ethics frameworks, and model risk management processes

Stakeholder Collaboration

• Identify opportunities to leverage AI to improve operations and service outcomes

• Communicate complex findings into clear, actionable insights for executive leadership

• Provide mentorship and technical guidance to analysts and cross-functional teams

Reporting & Visualization

• Develop dashboards, reports, and visualizations to track KPIs, trends, and forecasts

• Build and maintain Business Intelligence solutions (e.g., Power BI)

• Integrate AI-driven insights into reporting for real-time decision-making

Requirements

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred)

• 5+ years of experience in data analytics, data science, or AI/ML roles

• Hands-on experience with machine learning model development and deployment

• Proficiency in Python, SQL, and data visualization tools (Power BI, Tableau, or similar)

• Experience with NLP, predictive modeling, or automation solutions

• Strong understanding of data governance, model validation, and performance metrics (e.g., MAE, F1, AUROC)

• Excellent communication skills with ability to present technical insights to non-technical audiences

Preferred Qualifications

• Experience working with large, complex datasets in regulated environments

• Familiarity with MLOps, model monitoring, and lifecycle management

• Exposure to geospatial analytics, LLMs, or advanced AI frameworks

• Experience implementing responsible AI or ethical AI frameworks

What You’ll Deliver

• Production-level AI solutions improving internal workflows or customer-facing services

• Executive-facing dashboards with near real-time insights

• Established data quality standards and governance practices

• AI governance workflows including bias testing, documentation, and monitoring

• Scalable processes for cross-functional AI project delivery

Job Summary

We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering AI-ready data foundations—ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents.

Sr. Data Engineer - AI-ready-Enterprise-Scale Data Platforms

Responsibilities

• Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applications

• Design pipelines to deliver AI-ready data (curated, labeled, contextualized, and feature-rich datasets)

• Develop robust data ingestion, transformation, and serving layers (batch + real-time)

• Enable semantic data models, knowledge graphs, and vector databases to power AI agents and LLMs

• Implement data quality, lineage, and governance frameworks to ensure trust and compliance

• Collaborate with AI/ML teams to support feature engineering, model training, and inference pipelines

• Optimize data architectures for performance, scalability, and cost efficiency

• Mentor teams and establish best practices for AI-driven data engineering

Qualifications

• 10+ years of experience in data engineering and platform architecture

• Strong expertise in cloud platforms (Azure, AWS, or GCP) and modern data ecosystems

• Familiarity with AI/ML data pipelines, feature stores, and model lifecycle support

• Experience with LLM data pipelines

• Strong understanding of data governance, metadata management, and security frameworks

Preferred Qualifications

• Experience building data platforms for AI agents / agentic workflows

• Knowledge of RAG (Retrieval Augmented Generation) architectures and semantic search

• Exposure to data mesh / domain-oriented data architectures

• Experience in large-scale enterprise transformation programs

Data Science & AI

Zero to AI Engineer