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AI Architect Location: Singapore Role Overview Job Summary: We are seeking a visionary and technically skilled AI Architect to lead the design, development, and deployment of AI solutions across the bank in FS…
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed…
Role Overview Job Summary: We are seeking a visionary and technically skilled AI Architect to lead the design, development, and deployment of AI solutions across the bank in FS (Financial Services) vertical. This role…
Objectives of the Role: We are seeking a seasoned AI Delivery Manager (AVP level) to lead end-to-end delivery of AI programs—including GenAI and classical ML—across diverse technology stacks. This role owns delivery…
Build and deploy AI agents and predictive models to modernize clinical data and regulatory submissions, using Python, R, LangGraph, and GraphRAG in a GxP-regulated environment.
End Date Thursday 17 September 2026 Salary Range £72,702 - £80,780 We support flexible working – click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description…
Job Title : Senior Applied AI Engineer Location : San Diego, CA Contract length : 3 months Schedule : Fulltime, 40 hrs/week Pay : $120/hr to $132/hr, DOE Job Overview: The Senior Applied AI Engineer designs, builds,…
Role Summary Do you want to make a global impact on patient health? Pfizer's International Commercial division is transforming how we bring our medicines to patients across international markets. Within Business…
Job Description: Permian Resources (NYSE: PR) is seeking an AI & Integration Architect in Midland, TX. This role owns the application, orchestration, and AI-collaboration layers of Permian Resources' enterprise…
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you…
Senior AI architect designs, documents, and governs enterprise AI/ML/GenAI standards, frameworks, and scalable solutions for a major Latin American bank, ensuring security, compliance, and alignment with business needs.
Build and operate internal AI platforms for research and engineering teams — backends, dashboards, CLIs/SDKs, GPU cluster scheduling, and model serving on managed inference and self-operated GPUs. Core stack is production Python, Kubernetes, Slurm, CI/CD, and MLOps/LLMOps tooling, based on-site in San Francisco.
AI/ML engineer at DataZymes in Bengaluru building and productionizing GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning) for healthcare/pharma analytics clients. Core stack: HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, and cloud ML platforms (AWS/Azure/GCP); Databricks/Spark is a plus.
Leads product strategy and roadmap for model training and fine-tuning in SeekrFlow, Seekr's end-to-end AI platform: turning ML workflows like SFT, LoRA, DPO/RLHF, dataset management, evaluation, and model promotion into enterprise-ready platform capabilities. Hybrid role based in offices in Austin, TX or Reston, VA.
Hands-on AI architect/team lead in EY's Financial Services Technology Consulting practice in Dublin, building and deploying enterprise GenAI, LLM, RAG, and multi-agent AI solutions for banking, insurance, and wealth/asset management clients. Core stack: Python, Docker/Kubernetes, LLM providers (OpenAI, Anthropic, Gemini), vector DBs, and AWS/Azure/GCP with LLMOps/MLOps.
A client-embedded AI engineer/manager in EY's AI & Data practice who turns ambiguous business problems into enterprise AI solutions — prototyping and deploying LLMs, RAG, agents, and classical ML into production in regulated, large-scale environments — while owning delivery, monitoring, and client enablement. Core stack: Python, Azure/GCP/AWS, vector stores, MLOps/LLMOps.
A client-embedded technical leadership role in EY's AI & Data practice: the Senior Manager translates business problems into enterprise AI use cases and takes solutions from prototype to production using LLMs, RAG, agents and traditional ML, deployed on cloud, hybrid or on-prem client infrastructure, while leading teams and supporting pre-sales.
EY's AI Hub in Sindh, Pakistan is hiring a Senior DevOps Engineer to design, automate, secure, and operate cloud and hybrid platforms for AI-driven applications — owning CI/CD, infrastructure as code, observability, and release governance on an Azure-first stack (Azure DevOps/GitHub Actions, Terraform/Bicep, Docker/Kubernetes-AKS).
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