ai solutions engineer

Genpact

<div><div><div>Ready to build the future with AI? 
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges. 
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment. 
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
Inviting applications for the role of Principle Consultant, Databricks</div><div>
We are on the lookout for an Analytics Engineer to join our team, tasked with integrating Putnam analytics solutions into FT systems. The ideal candidate should have a genuine passion for maintaining, optimizing, and enhancing analytics solutions. 
Responsibilities 
<ul><li>Implement pipeline migrations and redesign workflows to align with Unity Catalog governance.</li><li>Refactor pipelines for compatibility with serverless compute.</li><li>Perform data ingestion using Auto Loader and optimize data partitioning and Z-ordering.</li><li>Collaborate with Test Engineers to ensure data pipeline validation and accuracy.</li></ul>
Skills:</div><ul><li>Proficiency in Databricks (Spark, PySpark, Delta Lake, Unity Catalog).</li><li>Candidates should have a good knowledge of SQL with CTE, Joins, etc.</li><li>Candidates should be good hands on Python including pandas, data churning, list, tuples, dictionary.</li><li>Experience with SQL-based data transformations and Delta Sharing.</li><li>Familiarity with cloud-native data ingestion tools (Auto Loader, JDBC)</li></ul><div>
Qualifications we seek in you 
Minimum qualifications:</div><div>
o B.Tech, MCA 
o Proficiency in Databricks (Spark, PySpark, Delta Lake, Unity Catalog). 
o Experience with SQL-based data transformations and Delta Sharing. 
o Familiarity with cloud-native data ingestion tools (Auto Loader, JDBC)</div><div>
Preferred Qualifications/ Skills: 
<ul><li>Excellent communication skills with analytical mind set</li></ul></div><div>
Why join Genpact? 
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. 
Let&rsquo;s build tomorrow together. 
 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. 
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div> 
JobPrincipal Consultant
Primary LocationIndia-Chennai
ScheduleFull-time
Education LevelBachelor's / Graduation / Equivalent
Job PostingDec 28, 2025, 3:14:28 PM
Unposting DateJan 28, 2026, 12:29:00 PM
Master Skills ListOperations
Job CategoryFull Time</div>

Principle Consultant

Coptic Orphans

<div>AI Engineer 
Purpose of the Job
This role is pivotal in our commitment to leveraging cutting-edge artificial intelligence to advance our mission. This person will be a hands-on professional with a passion for experimenting with emerging AI assistants, large language models (LLMs), and other AI technologies. This role will be responsible for identifying, testing, and integrating these tools into our existing technological infrastructure to enhance our programs, fundraising, streamline operations, and drive data-informed decision-making. 
Essential Functions and Responsibilities
<ul><li>Analyze business processes using the workflow process management function and partner with Data Analysts to evaluate data flows, then proactively identify opportunities to integrate AI solutions that optimize efficiency, automate tasks, and support informed decision-making.</li><li>
Research, experiment with, and evaluate emerging AI assistants, generative AI tools, and large language models (LLMs) to determine high-value use cases aligned with organizational goals.</li><li>
Design and develop AI prototypes and proof-of-concept integrations to demonstrate how AI tools can be effectively integrated into internal systems to enhance efficiency, automation, and operational workflows.
</li><li>Partner with cross-functional teams to identify practical challenges and opportunities where AI can be applied to simplify work, save time, or improve outcomes.
</li><li>Build, fine-tune, and deploy ML models tailored to nonprofit-specific use cases such as donor insights, operational automation, and content generation.</li><li>
Use advanced Python skills and ML tools to develop and fine-tune AI models for practical applications.
</li><li>Implement AI solutions in compliance with ethical standards, including bias mitigation, data privacy, and fairness, and contribute to shaping the organization's AI governance framework.
</li><li>Train non-technical staff on basic AI concepts, opportunities, and risks.</li>
Design and implement AI architecture, model integration strategies, and data pipelines to enable seamless deployment into existing systems. 
<li>
</li></ul> 
Required Education, Experience, Knowledge and Skills
<ul><li>Bachelor's in Artificial Intelligence, Computer Science, Data Science, or a relevant field.</li><li>
1 to 3 of hands-on experience in machine learning, AI engineering, or related fields.</li><li>
Hands-on experience working within project teams, supporting the implementation of AI solutions in coordination with technical and non-technical stakeholders.</li><li>
Proficiency in written and spoken English.</li><li>
Proficiency in Python and core ML frameworks.</li><li>
Practical experience with AI/LLM deployment, including Chabot's, assistants, or generative AI.</li><li>
Good understanding of data ethics, bias, and responsible AI principles.</li><li>
Excellent communication, facilitation, and documentation skills.</li><li>
Experience with Customer Relationship Management (CRM) systems and their integration with data and AI workflows.</li><li>
Ability to gather, analyze and present information and numerical data effectively, and a demonstrated, high level of accuracy and thoroughness in all duties.</li></ul> 
Travel and Working Requirements<ul><li>
Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
</li><li>Occasional travel, nationally or internationally, is expected.
</li><li>Working out of the official hours and on weekends may be required.</li></ul></div>

AI Engineer

Accenture

Project Role : Technology Platform Engineer 
Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
 
Must have skills : Oracle Financials 
Good to have skills : NA 
Minimum 5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
&quot;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 a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring efficiency and reliability in the cloud infrastructure. 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. - Collaborate with cross-functional teams to ensure seamless integration of cloud environments. - Monitor and optimize cloud infrastructure performance to enhance operational efficiency. 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 Oracle Financials. - Strong understanding of cloud computing principles and practices. - Experience with automation tools and scripting languages. - Familiarity with infrastructure as code methodologies. - Knowledge of security best practices in cloud environments. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Financials. - A 15 years full time education is required.&quot;
 
15 years full time education

Technology Platform Engineer

Project Role : Technology Platform Engineer 
Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
 
Must have skills : Oracle Financials 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
&quot;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 a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring efficiency and reliability in the cloud infrastructure. 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. - Collaborate with cross-functional teams to ensure seamless integration of cloud environments. - Monitor and optimize cloud infrastructure performance to enhance operational efficiency. 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 Oracle Financials. - Strong understanding of cloud computing principles and practices. - Experience with automation tools and scripting languages. - Familiarity with infrastructure as code methodologies. - Knowledge of security best practices in cloud environments. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Financials. - A 15 years full time education is required.&quot;
 
15 years full time education

Soft Radix Technologies

We are looking for a highly skilled and experienced Senior AI/ML Engineer with deep expertise in Generative AI, LLMs, small language models, AI agents, chatbots, and automation workflows. The ideal candidate will have a strong background in developing and deploying AI solutions, particularly in agentic AI tools such as Make.com, n8n, and other automation platforms. You will play a key role in building intelligent, scalable, and efficient AI-driven applications, integrating advanced AI models into real-world business use cases.Key Responsibilities:<ul><li>Design, develop, and deploy AI models focusing on Generative AI, LLMs, small language models, and AI agents for automation and chat-based applications.</li><li>Develop and implement autonomous AI agents capable of handling real-time decision-making and workflow automation.</li><li>Integrate AI solutions into products, leveraging tools like Make.com, n8n, and similar automation frameworks for seamless workflows.</li><li>Optimize AI models for efficiency, scalability, and real-world application in production environments.</li><li>Develop and fine-tune LLMs and small language models tailored for specific business needs.</li><li>Implement AI-powered automation for customer support, process optimization, and intelligent decision-making.</li><li>Collaborate with data scientists, engineers, and product managers to define AI-driven solutions that enhance business operations.</li><li>Ensure high-performance AI models by implementing best practices in data processing, model training, evaluation, and deployment.</li><li>Mentor junior AI engineers and contribute to knowledge sharing within the team.</li><li>Stay ahead of the curve by researching emerging AI trends and evaluating their potential impact on business strategies.</li></ul>Required Skills and Experience:Education:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.</li></ul>Experience:<ul><li>2 years of hands-on experience in AI/ML development, with a strong focus on Generative AI, LLMs, and automation workflows.</li><li>Proven track record of building and deploying AI-powered chatbots, AI agents, and workflow automation tools.Technical Expertise:</li><li>Strong programming skills in Python (preferred) and experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.</li><li>Experience with LLM fine-tuning, model compression, and small language models for efficiency.</li><li>Familiarity with Make.com, n8n, LangChain, AutoGPT, or other agentic AI tools for automation.</li><li>Strong understanding of NLP, conversational AI, and chatbot development.</li><li>Experience in cloud platforms like AWS, Google Cloud, or Azure for AI model deployment.</li><li>Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.</li><li>Experience with big data technologies such as Hadoop, Spark, or similar is a plus.</li></ul>Preferred Qualifications:<ul><li>Experience integrating AI models into business workflows to enhance automation and efficiency.</li><li>Familiarity with API development and integrations to connect AI services with other systems.</li><li>Exposure to MLOps and AI model lifecycle management.</li><li>Knowledge of prompt engineering and AI model optimization techniques.</li></ul>Job Type: Full-timePay: ₹35,000.00 - ₹45,000.00 per monthBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

AI/ML Engineer

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Lahore 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

YrFW1AObcG</div>

Sr. AWS AI Engineer

Swastika Web Technology

We are hiring a Prompt Engineer to work on AI-driven solutions for a fashion e-commerce environment. This role focuses on designing, testing, and optimizing prompts for large language models (LLMs) to generate accurate, consistent, and business-ready outputs.The ideal candidate has hands-on production experience with LLMs, not just experimentation, and understands how AI outputs impact real-world business metrics such as conversion, content quality, and customer experience.Key Responsibilities<ul><li>Design, test, and optimize prompts for:</li><li>Product descriptions and SEO-friendly content</li><li>Customer support responses (FAQs, sizing guidance, return policies)</li><li>Marketing content (email campaigns, ads, WhatsApp promotions)</li><li>Create prompts that generate structured and consistent outputs (JSON / schema-based formats)</li><li>Test and refine prompts across multiple fashion product categories</li><li>Reduce hallucinations and improve accuracy using constraints, prompt chaining, and validation techniques</li><li>Collaborate closely with AI developers and backend engineers to integrate prompts into APIs and workflows</li><li>Continuously improve prompt performance using feedback, analytics, and business KPIs</li></ul>Required Skills &amp; Experience<ul><li>1&ndash;3 years of hands-on experience working with LLMs (OpenAI, Gemini, Claude, etc.)</li><li>Strong understanding of:</li><li>Prompt engineering best practices</li><li>Few-shot and zero-shot prompting</li><li>Structured output generation</li><li>Experience working with e-commerce product data</li><li>Ability to convert business requirements into effective AI prompts</li><li>Basic working knowledge of Python or JavaScript for testing and validation</li></ul>Job Type: Full-timePay: ₹35,000.00 - ₹65,000.00 per monthWork Location: In person

Prompt Engineer

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