ai solutions engineer

Mazak Corporation

<p></p><div><p>Mazak Corporation&rsquo;s Software Development department is looking for an entry level AI Solutions Development Engineer. The AI Solutions Development Engineer will be a logical and deductive thinker who is eager to learn and capable of participating on a multi-disciplined team geared for the research and advancement of AI and process development projects. This includes development and deployment of machine learning, predictive analysis, and generative AI tools and solutions.</p><br>
<p></p>
<p>
Scope and Responsibilities:</p>
<p>
Essential duties include, but are not limited to the following:</p>
<ul><li>Proactively attains a safe and healthy work environment for all employees</li></ul>
<ul><li>Full life cycle support (development, testing, documentation, and tech support) of internal development projects</li></ul>
<ul><li>Custom and automation solutions for Mazak end users with an overall vision and goal to always enhance and improve the machining process and overall solution.</li></ul>
<ul><li>Communicate effectively and calmly with a diverse group of individuals on various projects.</li></ul>
<ul><li>Stay up-to-date with latest industry and AI trends, reporting findings and research to management.</li></ul>
<ul><li>Thorough documentation of process and procedures.</li></ul>
<p>
Education/Certification:</p>
<ul><li>BS in Computer Science, Electrical Engineering, Mechanical Engineering, Data Science, or related field is required.</li></ul>
<ul><li>Masters degree in machine learning/Data science preferred.</li></ul>
<p>
Skills:</p>
<ul><li>Proficiency in Python and common ML libraries including but not limited to TensorFlow and PyTorch</li></ul>
<ul><li>Proficient skills in API development and troubleshooting code</li></ul>
<ul><li>Proficient experience with communication protocols MTConnect, OPCUA, MQTT, Modbus</li></ul>
<ul><li>Experience with time-series analysis and predictive maintenance concepts such as feature extraction from sensor data and signal processing basics.</li></ul>
<ul><li>Proficiency in data wrangling (Pandas, SQL) and basic deployment (DOCKER, Rest API)</li></ul>
<ul><li>Familiar with cutting tools, parts processing on machine tools and industry terms is preferred</li></ul>
<ul><li>Experience with cloud-based ML services and ML Ops tools</li></ul>
<ul><li>1-4 years of hands-on experience with ML/AI workflows OR demonstrated projects</li></ul>
<ul><li>Excellent communication skills</li></ul>
<ul><li>Strong presentation and documentation skills</li></ul><br>
<p></p>
<p>
EOE, including disability/vets</p><p></p><p>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</p></div>

AI Solutions Engineer

Advanced Artificial Mind

<p><b>AI Solutions Engineer / Data Scientist / Machine Learning Engineer</b></p><p>Location: Qatar<br/>Department: IT</p><p><b>Responsibilities:</b></p><ul><li>Develop and deploy custom AI models &mdash; particularly in Arabic NLP, document classification, and chatbots.</li><li>Work on data preprocessing, training, and fine-tuning large language models.</li><li>Build APIs or applications integrating AI capabilities into client systems.</li><li>Collaborate with cross-functional teams to define problem statements and evaluate solutions.</li></ul><p><b>Requirements:</b></p><ul><li>Experience with Python, TensorFlow / PyTorch, Hugging Face, or similar frameworks.</li><li>Familiarity with n8n workflows.</li><li>Knowledge of Arabic language processing and text analytics.</li><li>Strong problem-solving and research skills.</li><li>Familiarity with deploying AI models in cloud environments (Azure, AWS, GCP).</li></ul><p>Job Type: Full-time</p>

AI Solutions Engineer / Data Scientist / Machine Learning Engineer

Finastra

<div><h1 class="jobSectionHeader"><b>Who are we?<br>
</b></h1><p><br>
At Finastra, we are a dynamic global provider of open finance software solutions, dedicated to expanding access to financial services. Our innovative applications span Lending, Payments, Treasury and Capital Markets, and Universal Banking. Proudly serving over 8,000 customers, including 45 of the world's top 50 banks, we aim to boost financial inclusion for all. Join us and be part of a vibrant company that embraces diverse perspectives, and is committed to doing well by doing good.
</p><p></p><div><div><div><p><b>What will you contribute?
</b></p><p>Finastra&rsquo;s Global Data Office is responsible for the strategy, governance, and enablement of data assets across 130+ countries globally to unlock innovation for our business units and 8000+ customers, including 90% of the world&rsquo;s top banks. Reporting to the Global Head of Data Governance, this position will play a key role on the Enterprise Data Governance team, supporting the implementation and ongoing development of data governance initiatives across Finastra. It involves both business and technical responsibilities, with an emphasis on assisting in the development, configuration, and maintenance of Finastra&rsquo;s enterprise data governance systems. The purpose is to maintain the security, accessibility, quality, usability, and integrity of critical data assets. The successful candidate will support the Global Data Office in advancing Finastra&rsquo;s data governance strategies and solutions aimed at enhancing the technical infrastructure that underpins our governance framework. This team will help drive a global transformation Finastra&rsquo;s data governance program, which will not only meet and exceed security, regulatory and compliance requirements, but also accelerate innovation in the development of data, analytic and AI products, unlocking new opportunities for monetization.
</p><p></p><p><b>Responsibilities &amp; Deliverables
</b></p></div><div><ul><li><p>Design, develop, and deploy scalable machine learning models to solve complex business problems in the financial services domain.
</p></li></ul></div><div><ul><li><p>Collaborate with data scientists, data engineers, and business stakeholders to understand requirements and translate them into technical solutions.
</p></li></ul></div><div><ul><li><p>Build and maintain ML pipelines for data preprocessing, model training, evaluation, and deployment using MLOps best practices.
</p></li></ul></div><div><ul><li><p>Conduct exploratory data analysis and feature engineering to improve model performance and interpretability.
</p></li></ul></div><div><ul><li><p>Monitor model performance in production and implement retraining strategies to ensure accuracy and relevance over time.
</p></li></ul></div><div><ul><li><p>Contribute to the development of AI-driven products and services, including fraud detection, credit scoring, customer segmentation, and predictive analytics.
</p></li></ul></div><div><ul><li><p>Ensure compliance with data privacy, security, and regulatory standards (e.g., GDPR, Fair Lending).
</p></li></ul></div><div><ul><li><p>Document model development processes, assumptions, and performance metrics for transparency and audit readiness.
</p></li></ul></div><div><ul><li><p>Stay current with advancements in AI/ML technologies and recommend innovative solutions to enhance business capabilities.<br>
</p></li></ul></div><p></p><div><p><b>Required Skills &amp; Experience
</b></p></div><div><ul><li><p><b>3 </b><b>+ years of experience in machine learning, data science, or AI engineering </b><b>.
</b></p></li></ul></div><div><ul><li><p><b>5+ years&rsquo; experience supporting global data governance and data management initiatives, </b><b>preferably </b><b>in </b><b>the banking </b><b>, fintech or other highly regulated industries.
</b></p></li></ul></div><div><ul><li><p><b>Proficiency </b><b>in Python and ML libraries such as scikit-learn, TensorFlow, </b><b>PyTorch </b><b>, or </b><b>XGBoost </b><b>.
</b></p></li></ul></div><div><ul><li><p><b>Strong understanding of supervised and unsupervised learning, model evaluation techniques, and statistical analysis.
</b></p></li></ul></div></div><div><div><ul><li><p><b>Experience with cloud platforms </b>(e.g., Azure ML, AWS SageMaker, or GCP AI Platform) and containerization tools (e.g., Docker, Kubernetes).
</p></li></ul></div><div><ul><li><p><b>Familiarity with </b><b>MLOps </b><b>tools and practices for versioning, CI/CD, and model monitoring.
</b></p></li></ul></div><div><ul><li><p>Experience working with large-scale datasets and distributed data processing frameworks (e.g., Spark, Databricks).
</p></li></ul></div><div><ul><li><p>Knowledge of financial services use cases and key performance indicators (e.g., risk modeling, transaction classification, customer behavior analytics).
</p></li></ul></div><div><ul><li><p><b>Excellent problem-solving and communication skills, with the ability to explain complex models to non-technical stakeholders.
</b></p></li></ul></div><p></p><div><p><b>Qualifications
</b></p></div><div><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science , Data Science, Statistics, or a related field; PhD is a plus.
</p></li></ul></div><div><ul><li><p>Strong understanding of data governance principles, metadata management, data quality, and data management frameworks.
</p></li></ul></div><div><ul><li><p>Proven ability to support strategic implementation, manage change, and deliver results under tight deadlines.
</p></li></ul></div><div><ul><li><p>Excellent interpersonal skills with a demonstrated ability to collaborate effectively with cross-functional stakeholders, including product, legal, privacy, risk, and security teams.
</p></li></ul></div><div><ul><li><p>Exceptional written and verbal communication skills in English.
</p></li></ul></div><div><ul><li><p>Professional certifications in data governance (e.g., CDMP, ADGP, IGP) are advantageous .<br>
</p></li></ul></div></div></div><p></p><div><div><div><div><div><b>Timings:11-8PM or12-9PM
</b></div></div></div></div></div><p></p><p>We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we uphold:<br>
</p><p></p><br>
<p>&middot; <b>Flexibility: </b>Enjoy unlimited vacation, based on your location and business priorities. Hybrid working arrangements, and inclusive policies such as paid time off for voting, bereavement, and sick leave.
</p><p>&middot; <b>Well-being: </b>Access Confidential one-on-one therapy through our Employee Assistance Program, find support from our network of Wellbeing Champions and Gather Groups, and a calendar of monthly events and initiatives designed to help you thrive - Inside and Outside of work.
</p><p>&middot; Medical, life &amp; disability insurance, retirement plan, lifestyle and other benefits*
</p><p>&middot; <b>ESG: </b>Benefit from paid time off for volunteering and donation matching.
</p><p>&middot; <b>DEI: </b>Participate in multiple DE&amp;I groups for open involvement (e.g., Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra).
</p><p>&middot; <b>Career Development: </b>Access online learning and accredited courses through our Skills &amp; Career Navigator tool.
</p><p>&middot; <b>Recognition </b>: Be part of our global recognition program, Finastra Celebrates, and contribute to regular employee surveys to help shape Finastra and foster a culture where everyone is engaged and empowered to perform at their best.<br>
</p><div><br>
<ul><li>Specific benefits may vary by location.
</li></ul></div><p></p><p>At Finastra, each individual is unique, bringing their own ideas, thoughts, cultural beliefs, backgrounds, and experiences together. We learn from one another, embrace and celebrate our differences, and create an environment where everyone feels safe to be themselves.
</p><p></p><p>Be unique, be exceptional, and help us make a difference at Finastra!</p></div>

Senior AI/ML Solutions Engineer

Straive

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  Straive is looking for a talented and driven
  <strong>
   Consultant / Data Scientist / GenAI Engineer
  </strong>
  to join our
  <strong>
   Analytics &amp; GenAI delivery team
  </strong>
  . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is ideal for candidates from
  <strong>
   premier engineering institutes
  </strong>
  with
  <strong>
   2&ndash;3 years of relevant experience
  </strong>
  in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Develop and maintain
   <strong>
    Python-based
   </strong>
   applications, AI/ML models, and data processing pipelines for GenAI projects.
  </li>
  <li>
   Implement
   <strong>
    Large Language Model (LLM)
   </strong>
   integrations, including
   <strong>
    Retrieval-Augmented Generation (RAG)
   </strong>
   pipelines and embedding-based search solutions.
  </li>
  <li>
   Build data ingestion and transformation workflows, working with structured and unstructured datasets.
  </li>
  <li>
   Optimize AI model performance through
   <strong>
    prompt engineering
   </strong>
   , fine-tuning, and evaluation techniques.
  </li>
  <li>
   Collaborate closely with senior team members to translate business requirements into technical solutions.
  </li>
  <li>
   Integrate AI solutions with
   <strong>
    vector databases
   </strong>
   (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
  </li>
  <li>
   (Optional) Contribute to
   <strong>
    cloud-native deployments
   </strong>
   and
   <strong>
    Azure architecture
   </strong>
   &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
  </li>
  <li>
   Document workflows, maintain code repositories, and follow Agile development practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    2&ndash;3 years
   </strong>
   of relevant experience in AI/ML development, preferably in enterprise projects.
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
   <strong>
    premier engineering institute
   </strong>
   .
  </li>
  <li>
   Proficiency in
   <strong>
    Python
   </strong>
   programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
  </li>
  <li>
   Hands-on experience implementing
   <strong>
    RAG pipelines
   </strong>
   , embeddings, and vector search solutions.
  </li>
  <li>
   Understanding of
   <strong>
    LLM architectures
   </strong>
   and integration patterns.
  </li>
  <li>
   Working knowledge of
   <strong>
    SQL
   </strong>
   and data processing best practices.
  </li>
  <li>
   Basic knowledge of
   <strong>
    cloud DevOps concepts
   </strong>
   , preferably with
   <strong>
    Azure
   </strong>
   (AWS/GCP experience is also acceptable).
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <ul>
  <li>
   Exposure to
   <strong>
    agentic AI frameworks
   </strong>
   such as LangGraph, Semantic Kernel, or similar.
  </li>
  <li>
   Familiarity with ML model lifecycle management and deployment workflows.
  </li>
  <li>
   Prior experience working with cross-border teams and Agile environments.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist

Accenture

<p><b>Project Role : </b>Application Support Engineer<br>
<b>Project Role Description : </b>Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
<br>
<b>Must have skills : </b>SAP PO/PI &amp; APIs Development<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, analyzing system performance, and ensuring the smooth operation of applications that are vital to business functions. You will engage with stakeholders to understand their needs and provide timely solutions, contributing to the overall efficiency and effectiveness of the organization. Roles &amp; Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of processes and solutions to enhance team knowledge. - Engage in continuous learning to stay updated with the latest technologies and methodologies. Professional &amp; Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. -Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. - Must To Have Skills: Proficiency in SAP PO/PI &amp; APIs Development. - Strong understanding of integration patterns and best practices. - Experience with troubleshooting and resolving application issues. - Familiarity with monitoring tools to ensure system performance. - Ability to work collaboratively in a team environment. Additional Information:The candidate should have minimum 3 years of experience in SAP PO/PI &amp; APIs Development. - This position is based at our Hyderabad office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Application Support Engineer

AstraZeneca

<div><p><b>Job Title: AI Application Engineer &ndash; Enterprise Platform (Moveworks/ServiceNow)</b></p><p><b>
Career Level: C</b></p><p></p><h2 class="jobSectionHeader"><b>
Introduction to role:</b></h2><p>
Are you prepared to revolutionize the way we work with applications driven by AI? As an AI Application Engineer for the myAZ Agentic Platform, you'll be at the forefront of developing and implementing intelligent automation solutions within our enterprise ecosystem. Your mission is to enhance employee experience and operational efficiency by seamlessly integrating Moveworks and other enterprise systems. Collaborate with multi-functional teams to deliver scalable, secure, and compliant AI solutions that meet AstraZeneca's unique business needs. Dive into hands-on development, chatbot configurations, and automated workflows, all while staying ahead of emerging AI technologies.</p><p></p><h2 class="jobSectionHeader"><b>
Accountabilities</b><b>:</b></h2><p><b>
AI Application Development &amp; Configuration:</b></p><ul><li><p>
Develop and configure AI applications within the Moveworks platform to address specific business use cases and employee experience challenges.</p></li><li><p>
Build and maintain chatbot conversations, workflows, and automated responses using Moveworks Creator Studio and configuration tools.</p></li><li><p>
Implement ServiceNow NowAssist capabilities and integrate AI-powered features within ITSM processes.</p></li><li><p>
Configure Microsoft Copilot integrations and customize AI assistants for enterprise use cases.</p></li></ul><p><b>
Integration &amp; Automation:</b></p><ul><li><p>
Design and implement API integrations between Moveworks, ServiceNow, and other enterprise systems using MuleSoft and other integration platforms.</p></li><li><p>
Develop automated workflows using n8n, Make, and other workflow automation tools.</p></li><li><p>
Create and maintain data pipelines for knowledge ingestion and AI model training.</p></li><li><p>
Implement RAG (Retrieval-Augmented Generation) solutions for enterprise knowledge management.</p></li></ul><p><b>
Technical Implementation &amp; Support:</b></p><ul><li><p>
Configure and maintain AI models, including fine-tuning and optimization for enterprise use cases.</p></li><li><p>
Implement A2A (Application-to-Application) integrations and MCP (Multi-Channel Publishing) solutions.</p></li><li><p>
Develop custom connectors and extensions for AI platform capabilities.</p></li><li><p>
Support incident resolution and troubleshooting of AI application issues.</p></li></ul><p><b>
Quality Assurance &amp; Testing:</b></p><ul><li><p>
Conduct thorough testing of AI applications, including conversation flows, integrations, and automated processes.</p></li><li><p>
Implement monitoring and alerting for AI application performance and accuracy.</p></li><li><p>
Ensure AI solutions meet security, compliance, and data governance requirements.</p></li><li><p>
Perform regular maintenance and updates of AI applications and integrations.</p></li></ul><p><b>
Collaboration &amp; Documentation:</b></p><ul><li><p>
Work closely with business analysts and collaborators to understand requirements and translate them into technical solutions.</p></li><li><p>
Collaborate with the Platform Systems Administrator on release management and change control processes.</p></li><li><p>
Create and maintain technical documentation for AI applications, integrations, and workflows.</p></li><li><p>
Provide technical guidance and support to end-users and business teams.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Essential Skills/Experience:</b></h2><ul><li><p>
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent experience.</p></li><li><p>
3+ years of experience in AI application development, enterprise software development, or related technical role.</p></li><li><p>
Demonstrable experience in implementing AI solutions in enterprise environments.</p></li><li><p>
Hands-on experience with Generative AI platforms, Large Language Models (LLMs), and AI application development.</p></li><li><p>
Experience with Microsoft Copilot configuration, customization, and enterprise deployment.</p></li><li><p>
Knowledge of ServiceNow NowAssist implementation and AI-powered ITSM capabilities.</p></li><li><p>
Understanding of RAG (Retrieval-Augmented Generation), LangChain, and other AI frameworks.</p></li><li><p>
Experience with Agentic AI concepts and implementation.</p></li><li><p>
Proficiency in API development and integration technologies.</p></li><li><p>
Experience with workflow automation tools (n8n, Make, or similar platforms).</p></li><li><p>
Proficiency in enterprise integration patterns and standard processes.</p></li><li><p>
Understanding of data governance, security, and compliance requirements for AI applications.</p></li><li><p>
Experience with version control systems and DevOps practices.</p></li><li><p>
Experience with Moveworks platform configuration and development.</p></li><li><p>
ServiceNow platform knowledge, including workflow development and system administration.</p></li><li><p>
Understanding of ITSM processes and ITIL framework.</p></li><li><p>
Experience with Microsoft 365 ecosystem and enterprise applications.</p></li><li><p>
Strong problem-solving and analytical thinking abilities.</p></li><li><p>
Excellent communication skills with ability to explain technical concepts to non-technical collaborators.</p></li><li><p>
Ability to work independently and manage multiple priorities in a fast-paced environment.</p></li><li><p>
Collaborative approach with experience working in multi-functional teams.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Desirable Skills/Experience:</b></h2><ul><li><p>
Experience with MuleSoft Anypoint Platform for enterprise integrations.</p></li><li><p>
Knowledge of pharmaceutical industry regulations and compliance requirements (HIPAA, GDPR, GxP).</p></li><li><p>
Advanced certifications in AI/ML platforms or enterprise software development.</p></li><li><p>
Experience with cloud platforms (Azure, AWS) and containerization technologies.</p></li><li><p>
Understanding of AI/ML governance, ethics, and responsible AI practices.</p></li><li><p>
Experience with deep learning frameworks and model optimization techniques.</p></li><li><p>
Understanding natural language processing (NLP) and conversational AI guidelines.</p></li><li><p>
Familiarity with enterprise knowledge management systems and content ingestion processes.</p></li><li><p>
Relevant certifications in Moveworks, ServiceNow, or Microsoft platforms.</p></li><li><p>
ITIL Foundation certification or higher.</p></li><li><p>
Agile/Scrum methodology experience and certifications.</p></li><li><p>
Experience in Lean and Agile ways of working.</p></li><li><p>
Experience in pharmaceutical, healthcare, or highly regulated industries.</p></li><li><p>
Understanding of employee experience design and user-centered development approaches.</p></li><li><p>
Project management experience with technical implementation projects.</p></li><li><p>
Experience with change management and user adoption strategies.</p></li></ul><p></p><p>
When we put unexpected teams in the same room, we ignite bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.</p><p></p><p>
At AstraZeneca, we empower our teams to redefine the industry by combining innovative science with leading digital technology platforms. Our work directly impacts patients by redefining our ability to develop life-changing medicines. With a focus on innovation, collaboration, and a commitment to making a meaningful impact, we offer a dynamic environment where you can explore new solutions, experiment with technology, and drive cross-company change. Join us as we become a digital and data-led enterprise.</p><p></p><p>
Ready to make a difference? <b><i>Apply now to join our team!</i></b></p></div>

AI Application Engineer – Enterprise Platform (Moveworks/ServiceNow)

Cargill

<div><div><div><h2 class="jobSectionHeader"><b>Job Purpose and Impact</b></h2>
</div><div><p>
We are seeking a highly skilled and hands-on <b>GenAI Engineer</b> to join our team. This role demands a combination of deep technical expertise and strong business engagement skills. The ideal candidate will be responsible for driving the design, development, and delivery of cutting-edge Generative AI solutions while serving as the primary point of contact with business stakeholders.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities</b></h2>
</div><div><ul><li>Design GenAI solutions leveraging technologies like ChatGPT, OpenAI APIs, Copilot Studio, M365 Copilot, Pinecone, OCR, NLP, and Machine Learning models.</li><li>
Oversee development of web portals and integrations with enterprise systems (SAP, ERP, Outlook, APIs, databases, and data platforms).</li><li>
Guide deployment and scaling of solutions using AWS, Python, React, and modern cloud-native practices.</li><li>
Ensure best practices in architecture, design, coding, testing, and deployment.</li><li>
Conduct requirements gathering, solution scoping, and feasibility assessments.</li><li>
Demonstrate existing capabilities to business partners and propose new solutions tailored to their needs.</li><li>
Translate business requirements into technical designs and actionable project plans.</li><li>
Work closely with developers, data scientists, and engineers to deliver end-to-end solutions.</li><li>
Provide technical guidance, mentorship, and support to the team.</li><li>
Foster collaboration across cross-functional teams, ensuring alignment between business goals and technical execution.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2>
</div><div><ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.</li><li>
Strong hands-on expertise with:<ul><li>
Generative AI platforms: ChatGPT, OpenAI APIs, Copilot Studio, Pinecone</li><li>
NLP/OCR technologies and Machine Learning frameworks</li><li>
Web development: Python, React, REST APIs, integrations</li><li>
Cloud deployments (AWS preferred)</li><li>
Databases and data platforms</li></ul></li><li>
Proven experience in application/solution architecture and design.</li><li>
Experience integrating enterprise systems such as SAP, ERP, Outlook, and third-party APIs.</li><li>
Strong understanding of software development lifecycle (SDLC) and agile methodologies.</li><li>
Excellent communication and stakeholder management skills.</li><li>
Ability to create and present demos, technical proposals, and solution roadmaps.</li><li>
Strong problem-solving skills with a proactive and innovative mindset.</li></ul></div></div></div>

Application Developer - Functions

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