ai architect

Movate

<div><p><b>Work Location:</b> Chennai<br>
<b>Education Qualification:</b> Bachelor&rsquo;s Degree<br>
<b>Experience:</b> 10-12 years</p>
<p><b>Required Skills:</b></p>
<p><b>Architecture &amp; Design</b></p>
<ul><li>Define end-to-end architecture for GenAI &amp; Agentic AI solutions</li>
<li>Design scalable and secure AI pipelines including data ingestion, model training, fine-tuning, deployment, and monitoring.</li>
<li>Architect multi-agent AI systems leveraging frameworks like LangChain, AutoGen, LlamaIndex, or similar.</li>
</ul>
<p><b>Hands-on Development</b></p>
<ul><li>Build and optimize AI applications in Python using frameworks such as PyTorch, TensorFlow, Hugging Face Transformers.</li>
<li>Implement and integrate LLMs, embeddings, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, FAISS, Weaviate, Milvus).</li>
<li>Develop autonomous AI agents for workflow automation, reasoning, and decision-making.</li>
</ul>
<p><b>Innovation &amp; Strategy</b></p>
<ul><li>Evaluate and recommend emerging GenAI &amp; Agentic AI frameworks, tools, and platforms.</li>
<li>Define best practices for prompt engineering, model fine-tuning, safety, compliance, and governance.</li>
<li>Collaborate with stakeholders to align AI solutions with business goals and enterprise architecture.</li>
</ul>
<p><b>Leadership &amp; Mentoring</b></p>
<ul><li>Lead technical discussions and provide architectural guidance to engineering teams.</li>
<li>Mentor data scientists, ML engineers, and software developers in AI best practices.</li>
<li>Collaborate with product managers and business leaders on solution roadmaps.</li>
</ul><div><div><p><b>Follow Us On </b><b>LinkedIn</b><b> To Know About Our Latest Job Openings!</b></p>
<p>Submit the form below to apply</p>
<p></p><div><div><div><div><div><div>Name<div><div><i>(Required)</i></div></div></div><p></p><div>
</div></div><div><div>Email<div><div><i>(Required)</i></div></div></div><div>
</div></div><p></p><div><div>Phone<div><div><i>(Required)</i></div></div></div></div><p></p><div><div>
Tell me about your most complex end-to-end AI platform you designed and deployed. What were the main components, data flow, and the measurable business impact?<div><div><i>(Required)</i></div></div></div></div><p></p><div><div>
How do you implement ML lifecycle and MLOps in production? Include CI/CD for models, model registry, reproducibility, and monitoring.<div><div><i>(Required)</i></div></div></div></div><p></p><div><div>
What is your approach to data governance, privacy, and compliance in AI projects?<div><div><i>(Required)</i></div></div></div></div><p></p><div><div>
How do you balance latency, throughput, accuracy, and cost in production AI systems?<div><div><i>(Required)</i></div></div></div></div><p></p><div><div>
Can you share a time you influenced a critical architectural decision with stakeholders?<div><div><i>(Required)</i></div></div></div></div><p></p><div><div>
Current Location:<div><div><i>(Required)</i></div></div></div><p></p><div>
</div></div><div><div>Attach Resume<div><div><i>(Required)</i></div></div></div><div></div><div><p>
Accepted file types: pdf, docx, doc, Max. file size: 10 MB.</p></div></div></div></div></div></div></div></div></div><p></p>

AI Architect

Tarento Technologies Pvt. Ltd.

<div><div><b>About Tarento:</b></div><div>
</div><div>
Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.</div><div>
</div><div>
We're proud to be recognized as a <b>Great Place to Work</b>, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you&rsquo;ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.</div><div></div><div><br>
We are looking for AI Architect at our Delhi office.</div><div></div><div><b><br>
Job Role</b></div><div></div><div><br>
We are looking for an accomplished &amp; hands-on AI Architect to lead the vision, architecture, and implementation of AI-driven capabilities across the iGOT Karmayogi Bharat platform. The role involves defining AI strategy, system design, model lifecycle management, data architecture, and integration of AI components with existing microservices. The architect will guide technical teams, evaluate emerging AI technologies, and ensure scalable, secure, and high-performance AI solutions.</div><div></div><div><b><br>
Roles and Responsibility</b></div><br>
<div></div><ul><li>
Define and own the AI/ML architectural roadmap, system design, and end-to-end implementation strategy.</li><li>
Architect and implement AI capabilities such as:</li><li>
Generative AI &amp; RAG systems, embeddings, vector search</li><li>
Semantic &amp; NLP-based search across large-scale learning content</li><li>
Recommendation systems for personalized learning paths</li><li>
Conversational AI / Chatbots / AI Tutor</li><li>
Content classification, auto-tagging, clustering</li><li>
Predictive analytics and insight dashboards</li><li>
Establish AI pipelines, MLOps governance, and model lifecycle management (training, deployment, monitoring, feedback loops).</li><li>
Integrate AI solutions with Sunbird microservices, backend APIs, and Elasticsearch/vector DB infrastructure.</li><li>
Work closely with product leadership to translate requirements into scalable AI solutions.</li><li>
Mentor and guide AI developers, data scientists, and engineering teams.</li><li>
Ensure performance, observability, security, privacy, and responsible AI compliance.</li><li>
Evaluate and integrate next-generation models, cloud services, frameworks, and open-source tools.</li><li>
Support solution design and technical architecture documentation.</li></ul><div></div><div><b><br>
Required Skills &amp; Experience</b></div><br>
<div></div><ul><li>
10+ years of software engineering experience with at least 5 years in AI/ML system design &amp; architecture.</li><li>
Deep expertise in:</li><li>
NLP, Transformer models, LLMs, embeddings, vector search</li><li>
PyTorch / TensorFlow / Hugging Face / LangChain / LlamaIndex</li><li>
RAG pipelines, semantic search, recommendation systems</li><li>
Vector DBs: Milvus / Qdrant / Pinecone / Weaviate</li><li>
MLOps (model deployment, CI/CD, monitoring, feature store)</li><li>
Strong proficiency with Python, Java or Node.js, API development and microservices.</li><li>
Experience with Elasticsearch, distributed databases (Cassandra / Postgres).</li><li>
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, cloud services (AWS/Azure/GCP).</li><li>
Strong understanding of security, data privacy, responsible AI, and scalability in enterprise environments.</li><li>
Experience working with high-traffic, large-scale platforms.</li></ul><div></div><div><b><br>
Good to Have</b></div><div></div><div><br>
Experience with L&amp;D/EdTech ecosystem components (Learner, Content, Telemetry, Knowledge, Druid analytics).</div><div>
Domain experience in EdTech / GovTech / enterprise digital transformation.</div><div>
Experience deploying LLMs on-prem / hybrid environments.</div><div>
Familiarity with Keycloak, Kafka, Neo4j, Redis, Flink analytics.</div></div>

Infinite Technology Solutions

<p><b>Key ResponsibilitiesAI Strategy &amp; Architecture</b></p><ul><li>Define and own the AI architecture roadmap aligned with business goals.</li><li>Design scalable AI/ML systems, pipelines, microservices, and LLM-based architectures.</li><li>Evaluate and select the right algorithms, models, and frameworks (LLMs, CV, NLP, RAG, multi-agent systems, etc).</li><li>Architect solutions for model training, fine-tuning, vector databases, embeddings, and AI agents.</li><li>Build high-performance model serving infrastructure using GPUs or cloud AI services.</li></ul><p><b>Solution Design &amp; Development</b></p><ul><li>Lead the design of AI-powered applications, chatbots, automation tools, and predictive analytics systems.</li><li>Develop end-to-end ML workflows: data ingestion &rarr; preprocessing &rarr; model build &rarr; deployment &rarr; monitoring.</li><li>Architect RAG (Retrieval Augmented Generation) systems and enterprise AI copilots.</li><li>Enable integration of AI systems with APIs, databases, CRM/ERP, mobile apps, and internal tools.</li></ul><p><b>Leadership &amp; Collaboration</b></p><ul><li>Work closely with product managers to translate business requirements into technical AI solutions.</li><li>Guide ML engineers, data scientists, and developers on model implementation.</li><li>Provide technical mentorship and enforce best practices for AI design &amp; delivery.</li></ul><p><b>AI Governance, Security &amp; Compliance</b></p><ul><li>Implement data privacy, security, and compliance practices within AI environments.</li><li>Establish MLOps, LLMOps, and DevSecOps frameworks for continuous deployment and monitoring.</li><li>Define KPIs and evaluation metrics for AI model performance and success.</li></ul><p><b>Required Skills &amp; QualificationsTechnical Skills</b></p><ul><li>Strong experience with <b>AI/ML frameworks:</b> PyTorch, TensorFlow, Keras, Scikit-learn.</li><li>Expertise with <b>LLMs &amp; GenAI:</b> OpenAI, Claude, Gemini, Llama, fine-tuning, custom model training.</li><li>Deep knowledge of <b>RAG pipelines</b>, vector DBs (Pinecone, Chroma, Weaviate, FAISS).</li><li>Hands-on with <b>ML Ops / LLM Ops:</b> Kubeflow, MLflow, Airflow, Docker, Kubernetes.</li><li>Proficiency in <b>Python</b>, APIs, microservices, cloud (AWS/Azure/GCP).</li><li>Experience with data engineering: ETL pipelines, SQL/NoSQL, data modeling.</li><li>Familiarity with multi-agent frameworks (CrewAI, LangChain Agents, AutoGPT).</li></ul><p><b>Soft Skills</b></p><ul><li>Strong problem-solving mindset and analytical thinking.</li><li>Ability to convert business needs into AI-driven solutions.</li><li>Clear communication and stakeholder management.</li><li>Leadership ability to manage teams and mentor juniors.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Master&rsquo;s or Bachelor's degree in Computer Science, AI/ML, Data Science, or related field.</li><li>Prior experience designing AI systems for enterprise clients.</li><li>Experience working with large-scale datasets and high-traffic production systems.</li><li>Publications, contributions to open-source AI projects, or certifications (NVIDIA, AWS, Google AI).</li></ul><p>Job Types: Full-time, Part-time, Freelance</p><p>Pay: &#8377;8,086.00 - &#8377;55,535.31 per month</p><p>Work Location: In person</p>

Nagarro

<div><b>Job Description</b><p><br>
We are seeking an <b>AI Architecture Leader</b> to design and govern enterprise-scale AI ecosystems for major UAE clients. This role combines <b>technical leadership, solution design, and strategic advisory</b>, focusing on <b>Generative AI, agentic systems, and cloud-native engineering</b>.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Define enterprise AI operating models, governance, and architectural standards.</li><li>
Lead multi-year AI transformation roadmaps and platform modernization.</li><li>
Architect end-to-end AI ecosystems: LLM agents, RAG workflows, multimodal AI, RLHF.</li><li>
Establish modular, reusable patterns for scalable and compliant AI platforms.</li><li>
Partner with business and tech leaders to shape AI strategy and value propositions.</li><li>
Conduct technical workshops, pre-sales reviews, and solution design sessions.</li></ul><p><b>
Must-Have Skills:</b></p><ul><li>
AI Application Solution Design (Strong)</li><li>
Cloud-Native GenAI Development (Strong)</li><li>
Data Science on Azure (Strong)</li><li>
Machine Learning Solution Design (Strong)</li><li>
Advanced RAG Workflow Design (Strong)</li><li>
Hands-on Python and experience with agentic GenAI systems.</li></ul><p><b>
Nice-to-Have:</b></p><ul><li>
Experience with Compass AI services.</li><li>
Arabic language proficiency (verbal &amp; written).</li></ul><p>
Join us to <b>shape enterprise AI architecture and accelerate digital transformation across the UAE</b>.</p></div>

Enterprise AI Architect

Prolifics

<div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><div>At Prolifics, we are currently implementing multiple solutions and we are looking to hire talented Sr AI Architect for our development centre in India. This position would be based out of Hyderabad and is a permanent position.</div><div></div><div><br>
If you are looking for a high growth company with rock-solid stability, if you thrive in the energetic atmosphere of high-profile projects, we want to talk to you today! Let&rsquo;s connect and explore possibilities of having you onboard the Prolifics team!</div><div></div><div><br>
Job Title: Sr AI Architect</div><div>
Primary Skill: MLOps, CI/CD, and Azure DevOps</div><div>
Secondary Skill: Management systems, RAG architectures, or enterprise copilots.</div><div>
Location: Hyderabad</div><div>
Educational Qualification: B.Tech/BE/M.Tech/MCA/M.Sc</div><div>
YOE: 6-8 yrs</div><div></div><div><b><br>
Job Description:</b></div><div></div><h1 class="jobSectionHeader"><b><br>
Position Summary</b></h1><p>
The Principal Azure Agentic AI Engineer is responsible for architecting and deploying agentic AI solutions using Microsoft&rsquo;s Azure ecosystem, including Azure AI Foundry, Semantic Kernel, and the Azure OpenAI Service. This role builds intelligent, context-aware agents that integrate across enterprise systems, enabling reasoning, orchestration, and automation at scale. The ideal candidate combines deep technical expertise in Azure AI infrastructure with a strong understanding of multi-agent orchestration, contextual retrieval, and Copilot-style integrations for enterprise productivity and decision support.</p><h1 class="jobSectionHeader"><b>
Key Responsibilities</b></h1><ul><li>
Architect multi-agent AI systems leveraging Azure OpenAI, Semantic Kernel, and vector- based memory orchestration.</li><li>
Design intelligent agent frameworks capable of reasoning, planning, and tool execution across enterprise workflows.</li><li>
Define and implement task graphs, context management strategies, and chain-of- thought persistence for agent
</li><li>Configure and optimize Azure AI Foundry environments for scalable model deployment, experimentation, and
</li><li>Integrate LLMs with Azure Cognitive Search, Data Lake, and vector retrieval layers to support context-grounded
</li><li>Build connectors between agentic services and enterprise systems such as Dynamics, Power Platform, and
</li><li>Develop custom skills and functions within Semantic Kernel to extend LLM capabilities with deterministic logic and APIManage orchestration pipelines for hybrid reasoning and cross-agent task</li><li>
Implement context chaining and skill composition for reusable, modular agent</li><li>
Integrate agentic systems into Microsoft 365 and enterprise workflows through Copilot extensions, Graph Connectors, and
</li><li>Collaborate with UX teams to design AI-assisted workflows and conversational interfaces.</li><li>
Ensure seamless handoff between human users and agentic systems for review, validation, and
</li><li>Apply Azure AI safety, compliance, and access management standards including RBAC, Managed Identity, and Conditional
</li><li>Monitor agentic system performance, telemetry, and cost optimization across distributed
</li><li>Implement auditing, observability, and responsible AI guardrails aligned with enterprise governance
</li></ul><h1 class="jobSectionHeader"><b>Preferred</b></h1><ul><li>
Experience building Copilot extensions or plugins for Microsoft 365 or Dynamics</li><li>
Familiarity with LangChain, AutoGen, or other agentic orchestration</li><li>
Knowledge of MLOps, CI/CD, and Azure DevOps pipelines for AI</li><li>
Background in knowledge management systems, RAG architectures, or enterprise
</li><li>Microsoft Certified: Azure Solutions Architect Expert or Azure AI Engineer</li></ul><h1 class="jobSectionHeader"><b>
Core Competencies</b></h1><ul><li>
Deep expertise in Azure&rsquo;s AI and agentic services</li><li>
Strong architectural and system design skills for large-scale AI</li><li>
Ability to bridge LLM reasoning with enterprise tools and</li><li>
Commitment to responsible AI, data governance, and secure model</li><li>
Proven ability to translate business processes into intelligent, autonomous</li></ul><div></div><div><b><br>
About us:</b></div><div><b>
Prolifics Corporation Limited</b> is a Global Technology Solutions Provider with presence across North America (USA and Canada), Europe (UK and Germany), Middle East &amp; Asia. In India, we have off shore development centers: 3 in Hyderabad &amp; 1 in Pune.</div><div></div><div><br>
For more than 40 years, Prolifics has transformed enterprises of all sizes including over 100 Fortune 1000 companies by solving their complex IT challenges. Our clients include Fortune 50 and Fortune 100 companies across a broad range of industries including Financial Services, Insurance, Government, Healthcare, Telecommunications, Manufacturing and Retail. We rank consistently in <b>Dream Companies to Work For </b>and<b> Dream Employer of the Year </b>ranking from World HRD Congress, ranked 7 in 2019.</div><div></div><div><br>
We encourage you to visit us on <b>www.prolifics.com</b> or follow us on Twitter, LinkedIn, Facebook, YouTube and other social media to know more about us.</div></div></div></div></div><div></div>

Sr AI Architect

Philips

<div><h3 class="jobSectionHeader"><b>Job Title
</b></h3>Senior Imaging AI Architect
<p></p><h3 class="jobSectionHeader"><b>Job Description
</b></h3><p><b>Job title:
</b><br>
The Senior Imaging AI Architect oversees an end-to-end data pipeline infrastructure for primarily medical imaging AI (but also Gen AI solutions and more), from data ingestion and storage through curation, feature extraction, and model training.
<br>
<b>Your role:
</b></p><ul><li><b>Architect and own the end-to-end data pipeline </b>for medical imaging AI data (including related patient record data), from intake and storage through curation, feature engineering, and model training. Ensure the pipeline is scalable, secure, and optimized for large imaging datasets <b>while maintaining compliance with healthcare data regulations </b>. Additionally, architect end-to-end data pipelines for other data related to Gen AI solutions as needed.
</li></ul><ul><li><div><b>Lead the integration of annotation tools and workflows </b>into the AI platform. Work with external annotation service providers and internal teams to link annotation software with our data repositories, so that images and labels flow seamlessly with full lineage and traceability.
</div></li></ul><ul><li><div><b>Develop and implement data cataloging and metadata management infrastructure </b>in partnership with the data manager and stewards. Ensure all data assets and models are version-controlled, easily discoverable, and traceable throughout their lifecycle to support reproducibility, auditability, and regulatory compliance.
</div></li></ul><ul><li><div><b>Collaborate closely with MLOps engineers and product software teams </b>to hand off models from R&amp;D into production. Define clear interfaces so that once models are trained and validated in our pipeline, they can be containerized and reliably transferred into medical device software, <b>meeting quality and safety standards </b>for clinical use.
</div></li><li><div><b>Work on a cross-functional team </b>of data scientists, data engineers, data ops and ML platform engineers and medical informaticians, with the software organization (including their architects &amp; principal architect), and global Philips colleagues in a fast-paced healthcare innovation environment. <i>You will mentor others and liaise with regulatory and quality teams </i>to ensure our AI solutions are safe, effective, and aligned with medical device industry standards.
</div></li><li><div>Constantly <b>stay up to date on the latest infrastructure &amp; AI technology </b>that can better support production AI development and other real-world data engineering work; propose and execute on proof of concepts that lead to adoption over time.
</div></li><li><div>You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position .<br>
</div></li></ul><p><br>
<b>You're the right fit if: </b>(4 x bullets max)
</p><ul><li><b>Architect and own the end-to-end data pipeline </b>for medical imaging AI data (including related patient record data), from intake and storage through curation, feature engineering, and model training. Ensure the pipeline is scalable, secure, and optimized for large imaging datasets <b>while maintaining compliance with healthcare data regulations </b>. Additionally, architect end-to-end data pipelines for other data related to Gen AI solutions as needed.
</li></ul><ul><li><div><b>Lead the integration of annotation tools and workflows </b>into the AI platform. Work with external annotation service providers and internal teams to link annotation software with our data repositories, so that images and labels flow seamlessly with full lineage and traceability.
</div></li></ul><ul><li><div><b>Develop and implement data cataloging and metadata management infrastructure </b>in partnership with the data manager and stewards. Ensure all data assets and models are version-controlled, easily discoverable, and traceable throughout their lifecycle to support reproducibility, auditability, and regulatory compliance.
</div></li></ul><ul><li><div><b>Collaborate closely with MLOps engineers and product software teams </b>to hand off models from R&amp;D into production. Define clear interfaces so that once models are trained and validated in our pipeline, they can be containerized and reliably transferred into medical device software, <b>meeting quality and safety standards </b>for clinical use.
</div></li><li><div><b>Work on a cross-functional team </b>of data scientists, data engineers, data ops and ML platform engineers and medical informaticians, with the software organization (including their architects &amp; principal architect), and global Philips colleagues in a fast-paced healthcare innovation environment. <i>You will mentor others and liaise with regulatory and quality teams </i>to ensure our AI solutions are safe, effective, and aligned with medical device industry standards.
</div></li><li><div>Constantly <b>stay up to date on the latest infrastructure &amp; AI technology </b>that can better support production AI development and other real-world data engineering work; propose and execute on proof of concepts that lead to adoption over time.
</div></li><li><div>You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position .<br>
</div></li></ul><p></p><p>You're the right fit if:
</p><ul><li><b>You have a Bachelor&rsquo;s degree </b>in Computer Science, Biomedical Engineering, Electrical Engineering, Mathematics or a related field. <i>(Master&rsquo;s or PhD preferred.) </i>Plus, <b>8 </b><b>+ years of experience </b>(or 5+ with a Master&rsquo;s, 3+ with PhD) <b>architecting large-scale data and machine learning pipelines (more weight given to recent experience and evidence of exceptional ability) </b>, ideally with a focus on imaging data in medical devices, healthcare, or another highly regulated industry.
</li><li>Demonstrated success in bringing medical devices with AI features to market using infrastructure you built and knowledge of international medical device regulations.
</li><li><div><b>Proven experience in technology strategy: </b>you have evaluated <b>cloud vs. on-premises </b>architectures and <b>build vs. buy </b>options to meet both short-term project requirements and long-term scalability. You can point to decisions you&rsquo;ve led in adopting the right tools and platforms for AI workflows.
</div></li><li><div><b>Strong technical toolkit: </b>proficiency in distributed data processing and pipeline tools, and hands-on skills in modern AI/ML infrastructure. <i>(We use AWS primarily&mdash;experience with cloud platforms, containerization, and MLOps frameworks will be valuable as is Python, SQL, C++.) </i>You are also comfortable with database systems and big data tools relevant to managing image datasets as well as relational and knowledge graphs. Bonus: You are up to date on, and have built agentic orchestration solutions particularly in a production environment.
</div></li><li><div>Familiarity with <b>agile development </b>methodologies like SAFe
</div></li><li><div><b>Excellent system design and problem-solving skills. </b>You can architect robust, scalable systems from the ground up and troubleshoot complex data flow issues. You apply a <b>security-first mindset.
</b></div></li><li><div><b>Effective communicator and collaborator: </b>able to clearly <b>explain complex architecture decisions </b>to both technical teams and non-technical stakeholders. You work well in cross-functional teams and can lead through influence. A <b>strong data privacy and quality mindset </b>is in your DNA.
</div></li><li><div><b>Passion for innovation in healthcare: </b>you stay updated on AI trends and are excited to apply them to improve patient outcomes.
</div></li></ul><div>.
<br>
<b>How we work together
</b><br>
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
<br>
Onsite roles require full-time presence in the company&rsquo;s facilities.
<br>
Field roles are most effectively done outside of the company&rsquo;s main facilities, generally at the customers&rsquo; or suppliers&rsquo; locations.
<br>
Indicate if this role is an office/field/onsite role.
<br>
<b>About Philips
</b><br>
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
<br>
<ul><li>Learn more about our business .
</li><li>Discover our rich and exciting history .
</li><li>Learn more about our purpose .
</li></ul>If you&rsquo;re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .
</div><p>#LI-Philips</p></div>

Senior Imaging AI Architect

EvoluteIQ

<div></div><div><div><div><div><div><div><div><div><p>Job Type:</p><div>
Permanent</div></div></div></div></div></div><div></div><div><div><div><div><div><p>
Experience:</p><div>
12+ Years</div></div></div></div></div></div><div></div><div><div><div><div><div><p>
Location:</p><div>
Bengaluru</div></div></div></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Life at EvoluteIQ</b></h3></div></div><div><div><p>
We at EvoluteIQ believe in the power of transformation. We are committed to building a industry-leading technology that will revolutionize the way enterprises conduct business.</p><p>
To make that happen, we need people who are generous, genuine, self-driven and collaborative. People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and care&mdash;about each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day.</p><p><b>
Could that be you?</b></p></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
The EIQ Mission:</b></h3></div></div><div><div><p>
Our culture is who we are, and it defines us. We are nimble, fast, dedicated, humble and bold. We see opportunities everywhere around us to make a <b>&ldquo;dent in the universe&rdquo;.</b> Our core fabric is Innovation! And this is not just a word, but the way of life within EvoluteIQ.</p><p>
Changing the way business is done, reimagining the future of work, and enabling people to improve their quality of work every day, is a daunting task. That is what we all strive every day at EvoluteIQ. To enable everyone to automate complicated processes with their instinct and knowledge.</p><p>
We make building of automation simple for everyone, so that it is not mystery for a few.</p><p><b>
Would you like to be part of this journey?</b></p><p>
We are seeking an experienced AI Architect to lead the design, implementation, and governance of end-to-end AI/ML solutions across our GenAI powered low-code/AI automation platform. The ideal candidate has a proven track record of building, deploying, and managing scalable AI/ML systems &ndash; from data ingestion and feature engineering to model deployment, monitoring, and optimization in production environments.</p></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
What you'll do at EvoluteIQ:</b></h3></div></div><div><div><ul><li>
Architect and oversee AI/ML pipelines covering data collection, preparation, training, validation, and inference.</li><li>
Define and implement scalable AI infrastructure for training, deployment, and continuous integration (MLOps).</li><li>
Collaborate with data scientists, ML engineers, product manager, and product teams to translate business problems into AI-driven solutions.</li><li>
Establish frameworks for model governance, versioning, reproducibility, and explainability.</li><li>
Integrate models into production systems ensuring low latency, scalability, and reliability.</li><li>
Define data strategy, storage, and access patterns to support AI workloads.</li><li>
Build solutions to monitor model performance, drift, and data quality, implementing continuous retraining strategies.</li><li>
Ensure compliance with ethical AI, data privacy, and security best practices.</li><li>
Mentor AI/ML engineers and contribute to architectural decisions across the AI platform stack.</li></ul></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
What will you bring to the team?</b></h3></div></div><div><div><ul><li>
12+ years of experience in data science, ML engineering and AI system architecture.</li><li>
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, spaCy and related AI/ML frameworks.</li><li>
Expertise in MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMaker.</li><li>
Proficiency in data processing technologies (Spark, Kafka, Airflow) and data modeling.</li><li>
Strong background in deploying models such as APIs or services using Docker, Kubernetes, and REST/gRPC.</li><li>
Experience designing data pipelines and integrating AI with production systems.</li><li>
Should have an understanding of prompt engineering, LLM fine-tuning, and vector stores (e.g. Pinecone, FAISS, Weaviate).</li><li>
Knowledge of cloud AI services (AWS, GCP, Azure) and distributed computing architectures.</li><li>
Proven experience implementing observability for models (drift, accuracy, bias, and performance).</li></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Good To Have:</b></h3></div></div><div><div><ul><li>
Experience in architecting AI/ML components for low-code/no-code or automation platforms.</li><li>
Exposure to GenAI, agentic systems, and conversational AI deployment pipelines.</li><li>
Knowledge of compliance frameworks like SOC2, GDPR, and Responsible AI principles.</li><li>
Contributions to open-source AI or ML tooling projects.</li></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
What We Offer</b></h3></div></div><div><div><ul><li>
Opportunity to shape the strategy of a next-gen hyper-automation platform.</li><li>
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment.</li><li>
Competitive compensation and growth opportunities.</li><li>
A culture of innovation, ownership, and continuous learning.</li></ul></div></div></div><div></div><div><div><div><p>
Ready to take the next step in your career journey with us? Apply now and become part of a dynamic team that values expertise, collaboration, and a positive work culture!</p></div></div></div><div><div><div><p><b>
Don&rsquo;t Meet Every Requirement? We Still Want to Hear From You!</b></p></div></div><div><div><p><b>
Please go ahead and apply anyway.</b></p></div></div></div><div><div><div><p>
We know that experience comes in all shapes and sizes and passion can&rsquo;t be learned. If you believe, then we would like to meet you and explore that belief!</p><p>
We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, colour, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.</p></div></div></div></div>

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