ai (data) architect

Andersen Lab

<p>The IT company <b>Andersen</b> invites a <b>AI (Data) Architect </b>to join its team for working with a company from Oman.</p><p><b>The customer</b> is a pioneering financial institution in the Sultanate of Oman. It aims to support the housing and construction sectors, contributing to the country's economic development. The bank focuses on achieving shareholder objectives and developing human capital through efficient banking operations and a motivating work environment. It actively supports Omani citizens by offering subsidized financing and reducing waiting list delays.</p><p><b>The project</b> is to support the governance, strategic planning, and operational alignment of the Super App and broader housing ecosystem.</p><p><b>The project </b>assumes a Sunday through Thursday work schedule.</p><p><b>Responsibilities:</b></p><ul><li>Preparing and implementing robust Data Governance and Data Management frameworks for enterprise and banking environments.</li><li>Designing and maintaining scalable Data Warehouse and Lakehouse architectures.</li><li>Collaborating with business and technical stakeholders to enable real-time analytics and support data monetization models.</li><li>Managing and optimizing enterprise data platforms including Snowflake and BigQuery.</li><li>Ensuring compliance with regulatory, security, and performance standards relevant to the banking industry.</li></ul><p><b>Must-have:</b></p><ul><li>Experience as a Data Architect for 5+ years.</li><li>Experience specifically as a Data Architect in the banking sector for 2+ years.</li><li>Experience in analyzing existing ecosystems and planning modernization/creation of new solutions for banks.</li><li>Strong understanding of Data Governance, Data Management, and data quality principles.</li><li>Hands-on experience with on-premises AI solutions (deployment, optimization, scaling).</li><li>Ability to analyze existing IT landscapes and identify AI integration opportunities.</li><li>Hands-on experience with Snowflake, BigQuery, dbt, Talend, and Kafka.</li><li>Solid knowledge of real-time data processing, analytics architectures, and data monetization strategies.</li><li>Excellent analytical, communication, and stakeholder management skills.</li><li>Level of English &ndash; from Upper-Intermediate and above.</li></ul><p><b>Reasons why this job would be interesting to you:</b></p><ul><li>Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson &amp; Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..</li><li>The opportunity to change the project and/or develop expertise in an interesting business domain.</li><li>Job conditions &ndash; you can work both fully remotely and from the office or can choose a hybrid variant.</li><li>Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.</li><li>The opportunity to earn an additional up to 1,000 EUR per month by participating in the company's activities.</li><li>Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.</li><li>Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).</li><li>Certification compensation (AWS, PMP, etc).</li><li>Referral program.</li><li>English courses.</li><li>Private health insurance and compensation for sports activities.</li></ul><p><b>Join us!</b></p><p>Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy</p><p>https://people.andersenlab.com/</p><p>Job Type: Full-time</p><p>Pay: RO3,150.000 - RO3,600.000 per month</p><p>Application Question(s):</p><ul><li>Do you have 3+ years of experience working as an AI Architect?</li><li>Do you have any experience in the banking domain?</li><li>Could you please share your salary expectations?</li></ul><br /> <div id='job-id'>Job Id: NRLTRNvuKsgITb3xKLnUfjIbUs+zE2xYg8GbOU7U/pOJcLybGh5rD/2uvdcYofIHZwHcH3JKQROLp5gzQChS6BsbJjPkDeQJYCjQTUdgOnKOrPJve87O</div>

AI (Data) Architect

Systems Limited

<div><p><b>Position:</b> Lead Automation Architect (IT &amp; SECOPS)<br>
<b>Location: </b>Pakistan</p>
<p><b>
Summary</b></p>
<div>
Lead Automation Architect (IT &amp; SECOPS) at Systems Limited will have a strong background in IT infrastructure, automation, and cybersecurity, with a passion for leveraging AI to enhance threat detection, streamline workflows, and drive operational excellence.
</div><p><b>Responsibilities</b></p>
<ul>
<li>Develop and deploy AI-powered tools to enhance threat detection, automate incident response, and enable predictive analytics in security operations.</li>
<li>Streamline IT workflows, incident management, and system monitoring by implementing automation tools and scripts to improve efficiency and reliability.
</li><li>Work closely with cybersecurity, DevOps, and infrastructure teams to embed AI and automation into existing IT and security processes.</li>
<li>Build and maintain ML models to identify anomalies, automate root cause analysis, and support data-driven decision-making.</li>
<li>Adhere to data privacy, security regulations, and enterprise governance standards while deploying AI and automation solutions.</li>
<li>Monitor and enhance IT systems using AI-driven insights to proactively address performance bottlenecks and vulnerabilities.</li>
<li>Guide junior team members, share expertise in AI and automation, and foster a culture of innovation within the IT department.</li>
<li>Keep abreast of emerging AI, automation, and cybersecurity trends to recommend cutting-edge solutions that align with business objectives.</li>
</ul>
<p><b>Requirements</b></p>
<ul>
<li>12+ years in IT infrastructure, with at least 3 years focused on automation and AI integration. Cybersecurity experience is highly desirable.</li>
</ul><ul><li>Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch) and automation tools (e.g., Ansible, Terraform, or similar).</li>
<li>Strong scripting skills (Python, PowerShell, or Bash).</li>
<li>Experience with cloud platforms (AWS, Azure, or GCP) and IT monitoring tools (e.g., Splunk, Prometheus).</li>
<li>Knowledge of cybersecurity principles, including SIEM, IDS/IPS, and endpoint security.</li>
</ul><ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or a related field; Master&rsquo;s degree or relevant certifications (e.g., CISSP, CCSP, AWS Certified Solutions Architect) preferred.</li>
<li>Excellent problem-solving, communication, and collaboration skills, with the ability to lead cross-functional initiatives.</li></ul></div><br /> <div id='job-id'>Job Id: J3BIo798+BsVKrSIXcfxh0nWEXqNG/u+n5twLEBipWAyIqzUHwBuW0sCW6+sZ+Y+xkUWzAd93+CmwGPZ/0YNlce5SiAfD5sNelLerW1+jRg5U4vwov5OFoTvcAiiB3C3ghj7JgFVh2Fl3nRjINwwJYyN1PVMqDFuFclBk1p7ZCukmOcxd8gJAh1icaO5vw5yU8ZS</div>

Lead Automation Architect (IT & SECOPS)

Smart Powered Artificial Intelligence LLC

<p>We are hiring an experienced <b>AI/ML Architect</b> to lead the design, deployment, and optimization of an <b>on-premise, multilingual AI-powered call center platform</b> for a strategic UAE federal government entity. This project supports over <b>25,000 voice calls daily</b> and leverages <b>LLM, STT, and TTS technologies</b> to deliver responsive, high-availability citizen services across six languages.</p><p>As the AI/ML Architect, you&rsquo;ll take ownership of <b>end-to-end AI system design</b>, manage <b>LLM fine-tuning on large-scale datasets</b>, and collaborate cross-functionally to ensure sub-250ms response times under peak load&mdash;all within <b>UAE data residency and compliance</b> frameworks.</p><p><b>Key Responsibilities:</b></p><p><b>Architecture &amp; Design:</b></p><ul><li>Architect scalable pipelines for real-time <b>STT</b>, <b>TTS</b>, and <b>LLM</b> systems for high-concurrency telephony workflows (150+ concurrent calls).</li><li>Design and implement optimized low-latency inference infrastructure for real-time multilingual voice interaction.</li></ul><p><b>LLM Fine-Tuning &amp; Deployment:</b></p><ul><li>Fine-tune and deploy <b>open-source LLMs</b> (e.g., Falcon, LLaMA, Mixtral) on local compute using UAE-specific and Client's-provided datasets.</li><li>Ensure secure, offline training (no cloud access) with full on-prem data privacy compliance.</li></ul><p><b>Data &amp; Knowledge Integration:</b></p><ul><li>Design <b>RAG (Retrieval-Augmented Generation)</b> pipelines over structured and unstructured data (e.g., PDFs, websites, databases).</li><li>Collaborate with data engineers to index, embed, and retrieve content from 1&ndash;10TB knowledge bases.</li></ul><p><b>Multilingual Speech AI Integration:</b></p><ul><li>Integrate multilingual <b>Speech-to-Text</b> (Whisper, Coqui) and <b>Text-to-Speech</b> (XTTS, Bark) models with optimized latency (&lt;250ms STT, &lt;200ms TTS).</li><li>Customize voices using Arabic (Emirati), English, Urdu, Hindi, French, and Tagalog samples provided by ICP.</li></ul><p><b>Optimization &amp; Benchmarking:</b></p><ul><li>Continuously optimize AI model inference, reduce memory/compute overhead, and maintain high availability.</li><li>Design fallback, failover, and versioning strategies for STT/TTS/LLM models.</li></ul><p><b>Cross-Functional Collaboration:</b></p><ul><li>Work closely with DevOps, backend teams, compliance officers, linguists, and telecom engineers for end-to-end platform delivery.</li><li>Support the QA process and post-deployment model updates and audits.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Master&rsquo;s or PhD in <b>AI, Machine Learning, Computational Linguistics</b>, or related field.</li><li>6+ years of experience in <b>AI/ML architecture</b>, with 3+ years deploying <b>production-grade LLM/NLP/STT/TTS</b> systems.</li></ul><p><b>Hands-on expertise with:</b></p><ul><li>LLM fine-tuning (e.g., Falcon, LLaMA, Mistral)</li><li>STT/TTS models (Whisper, XTTS, Bark, Coqui)</li><li>RAG pipelines (FAISS, Milvus, Weaviate, LangChain/Haystack)</li><li>Deep Learning frameworks (PyTorch, TensorFlow)</li><li>Tokenizers, quantization (GGUF/GGML), distributed training</li><li>Experience with large-scale dataset curation and vector embeddings.</li><li>Deep understanding of <b>Arabic dialects (especially Emirati)</b> and multilingual NLP systems is a major plus.</li></ul><p><b>Bonus Skills:</b></p><ul><li>Experience with telephony systems and SIP-based call routing</li><li>Familiarity with UAE data protection regulations and AI Ethics Charter</li><li>Experience in government or public-sector deployments</li><li>Knowledge of A/V pipelines, audio preprocessing, and latency profiling</li></ul><p><b>What We Offer:</b></p><ul><li>Work on one of the most ambitious <b>sovereign AI deployments in the UAE</b></li><li>High-impact leadership role in a <b>national-scale project</b></li><li>Opportunity to shape AI-powered public service delivery</li><li>Long-term growth with SPAI&rsquo;s expanding government AI portfolio</li></ul><p>Job Type: Full-time</p><p>Pay: AED30,000.00 - AED40,000.00 per month</p><br /> <div id='job-id'>Job Id: rUtOk5BmGKyvjnloyOMJu8vB2IfNfhosrt2B43sv7TNihCgJjsec/nHXix4zWQIGd96OuIsuBi4V5wNqgMVwckosmAII8blXu8k1Fx6gk5C9lCHLk5YQEJPRbjv2kMtwVKgMoBEvCx09OCjLzKEgKXodCwdUwXXSj15aVAkA4Q==</div>

AI/ML Architect – LLM, STT, TTS (On-Premise AI Call Center Project)

Derex Technologies inc

<div><b>Company Description</b><p><br>
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.</p><p>
With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.</p><b><br>
Job Description</b><p><b><br>
Position:</b> <b>AI Architect</b></p><p><b>
Location: Parsippany, NJ (On-Site)</b></p><p></p><p><b><br>
Key Responsibilities:</b></p><p><br>
</p><p><b>Strategic AI Architecture
</b></p><ul><li><ul><li>Design, architect, and oversee implementation of end-to-end <b>AI systems</b>, spanning data ingestion, model development, evaluation, deployment, and observability.</li><li>Lead architecture for <b>agentic systems </b>with memory, planning, and tool-use capabilities.</li></ul></li><li><ul><li>
Build <b>hybrid AI architectures </b>that integrate: o Traditional ML (XGBoost, SVM, Random Forest)</li></ul></li><li><ul><li>
Deep Learning (CNNs, RNNs, Transformers)</li><li>
Generative AI (LLMs, Diffusion Models, Multimodal AI)</li></ul></li></ul><p></p><p><b><br>
Generative AI &amp; Agentic Systems
</b></p><ul><li><ul><li>Develop applications using <b>LLMs (GPT-4/Claude/Gemini, etc.) </b>with frameworks like: o <b>LangChain</b>, <b>LlamaIndex</b>, <b>Haystack
</b></li></ul></li><li><ul><li><b>Vector DBs </b>(Weaviate, Pinecone, FAISS, Qdrant)</li></ul></li></ul><br>
<p></p><ul><li><ul><li>
Architect <b>RAG pipelines</b>, <b>prompt engineering workflows</b>, and <b>tool-using agents </b>(AutoGPT-style).</li><li>
Optimize inference, memory management, and token budgeting for agent runtimes.</li></ul></li></ul><p></p><p><b><br>
Traditional AI/ML &amp; Data Science
</b></p><ul><li><ul><li>Guide the development of <b>supervised and unsupervised ML models </b>for classification, regression, clustering, forecasting, and anomaly detection.</li><li>Translate business problems into mathematical formulations and data science models.</li><li>Collaborate with Data Engineering to optimize pipelines, feature stores, and model-serving infrastructure.</li></ul></li></ul><p></p><p><b><br>
Infrastructure &amp; Tooling
</b></p><ul><li><ul><li>Deploy models via <b>cloud-native platforms </b>(AWS Sagemaker, Azure ML, GCP Vertex AI).</li><li>Use <b>MLOps </b>tools for versioning, CI/CD, drift detection (MLflow, Kubeflow, Arize).</li><li>Leverage <b>orchestration tools </b>like Airflow or Prefect to manage complex workflows.</li></ul></li></ul><p></p><p><b><br>
Leadership &amp; Governance</b></p><p><br>
</p><ul><li><ul><li>Mentor junior data scientists and AI engineers across the SDLC.</li><li>Participate in executive-level planning for AI adoption and roadmap.</li><li>Define and enforce <b>responsible AI </b>practices: model fairness, privacy, explainability.</li></ul></li></ul><p></p><p><b><br>
Qualifications:
</b></p><p><b>Required:
</b></p><ul><li><ul><li>Bachelor's or Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li><b>8+ years </b>experience in AI/ML, with <b>3+ years in architecture or leadership roles</b>.</li><li>Proven delivery of <b>AI systems </b>in production: GenAI + traditional ML.</li><li>Strong knowledge of <b>LLMs</b>, <b>Transformer models</b>, <b>Vector embeddings</b>, and <b>Agents</b>.</li><li>Experience with Python (TensorFlow, PyTorch, HuggingFace, Scikit-learn), SQL, and cloud platforms.</li></ul></li></ul><p></p><p><b><br>
Preferred:
</b></p><ul><li><ul><li>PhD in AI, NLP, or Applied ML.</li><li>Experience integrating AI into <b>enterprise platforms</b>, <b>decision support tools</b>, or <b>clinical systems.
</b></li><li>Familiarity with <b>HIPAA</b>, <b>GDPR</b>, or <b>healthcare-specific data compliance </b>(for regulated environments).</li></ul></li></ul><p></p><p><b><br>
Soft Skills &amp; Traits:
</b></p><ul><li><ul><li>Strategic thinker with strong communication skills.</li><li>Natural collaborator who can lead across data, engineering, product, and executive teams.</li><li>Proactive, detail-oriented, and passionate about emerging AI technologies.</li></ul></li></ul><p></p><p><b><br>
Key Competencies
</b></p><p><b>Communicates effectively</b>&ndash; Attentively listens to others, provides timely and helpful information and is effective in a range of professional settings. Gives and receives feedback in a productive, professional manner. Demonstrates excellent oral and written communication skills.</p><p><b>
Manages Ambiguity -</b>Operating effectively, even when things are not certain, or the way forward is not clear. Is flexible in approach and is able to adapt their approach to meet changing business needs.</p><p><b>
Manages complexity -</b>Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Has strong organizational skills and is able to manage multiple activities at once. Has high attention to detail.</p><p><b>
Ensures Accountability -</b>Follows through on commitments and makes sure others do the same. Able to work independently as part of a small team.</p><p></p><p><b><br>
Regards,</b></p><p></p><p><b><br>
Manoj</b></p><p><b>
Derex Technologies INC</b></p><p><b>
Contact : </b><b>973-834-5005 </b><b>Ext 206</b></p><b><br>
Additional Information</b><p><br>
All your information will be kept confidential according to EEO guidelines.</p></div><br /> <div id='job-id'>Job Id: BMujWNH3C2KWRqui1OPPSdryhpR6Jvm9sbNjog1jlwtMMblb9RlFk6tbnGEea7Ff3OBymbyI3osTB1DlcuBPuXXza4kbmbVd9HM81Ge4CK1/9p2vHwziU3FlVHRdmC62FtzYqRyNrV2C8BG8FtQ=</div>

AI Architect

Recode Solutions

<div><div><h3 class="jobSectionHeader"><b>Job Summary</b></h3><p><br>
We are seeking an experienced <b>AI/ML Architect</b> to lead the design and development of scalable, real-time AI systems. You will work closely with product, data, and engineering teams to architect end-to-end solutions &mdash; from model development and deployment to system integration and production monitoring.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><li><br>
 Design and architect AI/ML systems that are scalable, low-latency, and production-ready</li><li><br>
 Lead development of real-time inference pipelines for use cases like voice, vision, or NLP</li><li><br>
 Select and integrate appropriate tools, frameworks, and infrastructure (e.g., Kubernetes, Kafka, TensorFlow, PyTorch, ONNX, Triton, VLLM etc.)</li><li><br>
 Collaborate with data scientists and ML engineers to productionize models</li><li><br>
 Ensure reliability, observability, and performance of deployed systems</li><li><br>
 Conduct architecture reviews, POCs, and system optimizations</li><li><br>
 Mentor engineers and help set best practices for ML lifecycle (MLOps)</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li><br>
 6+ years of experience building and deploying ML systems in production</li><li><br>
 Proven expertise in <b>real-time, low-latency system design</b> (e.g., streaming inference, event-driven pipelines)</li><li><br>
 Strong understanding of <b>scalable architectures</b> &mdash; microservices, message queues, distributed training/inference</li><li><br>
 Proficient in <b>Python</b> and popular ML/DL frameworks (scikit-learn, TensorFlow, PyTorch)</li><li><br>
 Hands-on experience with <b>LLM inference optimization</b> using frameworks like vLLM, TensorRT-LLM, and SGLang</li><li><br>
 Familiarity with <b>vector databases</b>, embedding-based retrieval, and <b>RAG pipelines</b></li><li><br>
 Experience with <b>containerized environments</b> (Docker, Kubernetes) and managing multi-container applications</li><li><br>
 Working knowledge of <b>cloud platforms</b> (AWS, GCP, or Azure) and <b>CI/CD practices</b> for ML workflows</li><li><br>
 Exposure to <b>edge deployments</b> and model compression/optimization techniques</li><li><br>
 Strong foundation in <b>software engineering principles</b> and <b>system design</b></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Nice to Haves</b></h3><ul><li><br>
 Experience in Linux (Ubuntu)</li><li><br>
 Terminal/Bash Scripting</li></ul></div></div><p></p>
<br><ul><div><p>Date Opened</p>
<div>07/08/2025
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Years of Experience</p>
<div>10 - 12 Years
</div></div><div><p>Domain</p>
<div>Chemicals
</div></div><div><p>City</p>
<div>Chennai
</div></div><div><p>State/Province</p>
<div>Tamil Nadu
</div></div><div><p>Country</p>
<div>India
</div></div><div><p>Zip/Postal Code</p>
<div>600001</div></div></ul><br /> <div id='job-id'>Job Id: wB3MaL9b+l3MyHOnAH1klGuP7vD1CDOWvOeI86mFd5KI+Fdh54WeWXSZ1pLKMN2qKphxPoBngkLj2d4fxFKP2w73gMPF7UgvyjGKZHZ7Gr453/9TjsE/fmakHM8vE/MtWdLgcvkx8olLX+xf+WDEGv0qL7wyPFIi2xKHlY8F7QYOwqM=</div>

AI/ML Architect

The Hartford

<div>Dir Data Architecture - GT06AE<p></p><p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.</p><p></p><div><div><p><b><br>
Overview of Role</b></p></div><div><p>
As a Principal Data/AI Architect, you will be a strategic leader responsible for defining and driving line of business data architecture that is connected and aligned to the enterprise data architecture vision and strategy. You will lead the design and implementation of highly scalable, reliable, and secure data solutions, including those that support GenAI initiatives. This role will help shape the organization's data maturity and strategy, emphasizing the development of core data domains and the integration of AI/ML capabilities enabled by robust data platforms. Strong candidate has been identified for this role.</p></div><p></p><div><p><b><br>
Primary Job Responsibilities</b></p></div><div><ul><li><p><b>
Strategic Data Architecture Leadership</b>: Develop and maintain line of business data architecture, aligned to Enterprise data architecture and strategy, including data models, data pipelines, data warehouses, data lakes, and data marts.</p></li></ul></div><div><ul><li><p><b>
GenAI</b><b> Data Architecture: </b>Design and implement data architectures to support GenAI applications, including data ingestion, storage, processing, and retrieval for large language models (LLMs) and other AI/ML models.</p></li></ul></div><div><ul><li><p><b>
Implementation and </b><b>Delivery: </b>Drive the creation and maintenance of data domains across the enterprise<b>.</b></p></li></ul></div><div><ul><li><p><b>
Advanced Data Platform Design: </b>Architect and design complex data platforms leveraging Snowflake, AWS, GCP, and other cutting-edge technologies.</p></li></ul></div><div><ul><li><p><b>
Technology Evaluation and Adoption:</b> Partner with Architecture, Data Science, and Engineering Leadership to evaluate and recommend new data technologies and trends, including those related to GenAI, to enhance our data capabilities and drive innovation.</p></li></ul></div><div><ul><li><p><b>
Technology Leadership</b>: Provide technical leadership and guidance on data architecture best practices, including data governance, data security, and data integration.</p></li></ul></div><div><ul><li><p><b>
Cloud-Native Architecture: </b>Architect and optimize data solutions on cloud platforms, specifically AWS and GCP, leveraging cloud-native services for scalability and reliability.</p></li></ul></div></div><div><div><ul><li><p><b>
Data Integration and Transformation</b>: Design and implement data integration solutions using Informatica IDMC, Python, and PySpark, ensuring seamless data flow across various systems.</p></li></ul></div><div><ul><li><p><b>
Reliability and </b><b>Optimization</b>: Design and implement data architectures that are reliable, scalable, and resilient, ensuring high availability and performance while running in a cost-optimized manner.</p></li></ul></div><div><ul><li><p><b>
Streaming Data Applications</b>: Design and implement architectures for streaming data applications, enabling real-time data processing and analytics.</p></li></ul></div><div><ul><li><p><b>
Data Governance and Security</b>: Designing data architectures that align to and support Enterprise Data Governance framework, ensuring data quality, security, and compliance.</p></li></ul></div><div><ul><li><p><b>
Mentorship and </b><b>Evangelism</b>: Mentor junior team members, actively lead Communities of Practice, and author/co-author and evangelize standards and best practices that promote construction of high-quality data products and AI solutions.</p></li></ul></div><div><ul><li><p><b>
Documentation</b>: Accountable for the creation and maintenance of comprehensive documentation of data architecture designs, standards, and best practices, as well as ensuring broad awareness of such documentation.</p></li></ul></div><div><ul><li><p><b>
Stay Current</b>: Continuously evaluate and recommend new data technologies and trends to improve our data capabilities.</p></li></ul></div><div><p><b>
Skills</b></p></div><div><ul><li><p>
Expert understanding of cloud platforms (e.g., AWS, GCP, Snowflake).</p></li></ul></div><div><ul><li><p>
Extensive knowledge of Informatica IDMC for data integration and transformation.</p></li></ul></div><div><ul><li><p>
Extensive knowledge of database systems (SQL, PostgreSQL, NoSQL, vector, graph).</p></li></ul></div><div><ul><li><p>
Experience with Python, PySpark.</p></li></ul></div><div><ul><li><p>
Excellent communication, presentation, and leadership skills.</p></li></ul></div><div><ul><li><p>
Ability to influence and collaborate with senior leadership.</p></li></ul></div><div><ul><li><p>
Experience with advanced ML/AI data pipelines.</p></li></ul></div><div><ul><li><p>
Deep understanding of data engineering principles and best practices using cloud technologies, data pipelines, enterprise data warehousing, and large-scale data transformations.</p></li></ul></div><div><p><b>
Education, Experience, Certifications and Licenses</b></p></div><div><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, a related field, or equivalent work experience.</p></li></ul></div><div><ul><li><p>
12 years of experience in data architecture, with a focus on enterprise-level data solutions.</p></li></ul></div></div><div><div><ul><li><p>
Deep expertise in designing and implementing data architectures for GenAI applications.</p></li></ul></div><div><ul><li><p>
Preferred: Recognized applicable domain certifications (e.g., AWS Data and Analytics, GCP Professional Data Engineer, SnowPro Advanced Architect)</p></li></ul></div></div><p></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p><p></p>
$140,000 - $210,000<p></p><p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p><p></p><p>
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</p></div><p></p><br /> <div id='job-id'>Job Id: vn/6wNsYpw3TRLyqdwtfEizdkTGIXodLoxL8LB52Ebxa15BMUAuQxleGZRp1Dpc9dbgNjgKswDihKx6fUNNIXtFJM9awA/1by0UN6+dP4UTfgwa4UVYMPu1+Fdf/4wTp5a77</div>

Principal Data/AI Architect

BroadPeak Technologies

<p>Architect and implement AI/ML-based systems tailored to franchise business models and operational workflows.</p><p><b>Build solutions leveraging generative AI, NLP, computer vision, predictive analytics, and intelligent automation. </b></p><p>Translate business challenges into data-driven products with real-world applications.</p><p><b>Contribute to an AI-first roadmap by developing proof of concepts and production-ready systems. </b></p><p>Guide junior team members and work directly with stakeholders in both the US and Pakistan.</p><p>Job Type: Contract<br/>Contract length: 24 months</p><p>Work Location: In person</p><br /> <div id='job-id'>Job Id: VHfNZusNNC6sx+uPkQgcNZ7iB0X7RyQvuyaaUSsFlhPOHUzWE4WPtPlZxKed9LgvxNnDU6LD2DfA8J785VD6L/bgv5dBXk58yHxEyP88EGJEVpc=</div>

AI/ML Engineer

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