Job Title

Position Overview:We are seeking a highly experienced AI/ML Architect to define, design, and govern enterprise-scale AI/ML and Agentic AI platforms. This role is responsible for architecting GenAI/LLM-powered, autonomous, and cloud-native AI systems that operate across healthcare and Revenue Cycle Management (RCM) workflows.The AI/ML Architect will provide technical leadership and architectural direction across intelligent agents, multi-agent orchestration, NLP, predictive analytics, Big Data platforms, cloud infrastructure, APIs, and RPA—ensuring solutions are scalable, secure, compliant, explainable, and production-ready.This is a hands-on architecture and strategy role, bridging business outcomes, engineering execution, and responsible AI governance.Job Roles & Responsibilities:AI/ML & Agentic AI ArchitectureDefine end-to-end AI/ML and Agentic AI architecture for enterprise platforms.Architect autonomous AI systems capable of:Goal-based reasoningMulti-step decision-makingTool/API orchestrationMulti-agent collaborationDesign GenAI/LLM architectures using AWS Bedrock, Azure OpenAI, HuggingFace, LangChain, and Transformer-based models.Establish architectural patterns for:Agent memory, context management, feedback loopsHuman-in-the-loop decision governance Safe autonomous execution AI-Driven Cloud EnablementArchitect solutions leveraging AWS Bedrock for GenAI-powered:Infrastructure optimizationPredictive scalingLog intelligence and anomaly detectionEnable seamless integration of AI/ML models into application and infrastructure layers via APIsGenAI, NLP & Advanced AI CapabilitiesArchitect AI solutions across:Natural Language Processing (NLP) – clinical notes, claims text, coding, summarization, chatbotsComputer Vision – document ingestion, imaging, OCRPredictive analytics & recommender systems – revenue forecasting, denial prediction, patient engagementDeep learning & reinforcement learningDefine standards for prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and LLM lifecycle management.Data, Big Data & Intelligence PlatformsArchitect enterprise data and AI intelligence platforms using:Spark, Hadoop, EMR, Redshift, BigQuery, Databricks, KafkaDesign real-time and batch pipelines feeding AI agents with:Logs, metrics, eventsStructured & unstructured healthcare and RCM dataEnable continuous learning pipelines and reinforcement loops for AI agents and models.Cloud-Native & Platform ArchitectureDefine cloud-native AI architectures across:AWS (Bedrock, SageMaker, Lambda, EC2, EKS)Azure (OpenAI, Azure ML)GCP (AI Platform)Design microservices and API-first architectures, leveraging .NET Core APIs as AI/agent control planes.Establish deployment standards using:Docker, KubernetesServerless architecturesCI/CD and DevOps pipelinesAgentOps, MLOps & Platform GovernanceDefine AgentOps / MLOps frameworks covering:Model, agent, prompt, and tool versioningMonitoring, observability, and drift detectionSafe rollout, rollback, and experimentation strategiesArchitect auditability and explainability into AI and agent workflows.Ensure AI systems meet enterprise reliability, scalability, and resilience standards Automation, RPA & OrchestrationArchitect integration between AI agents and RPA platforms (UiPath, Automation Anywhere).Enable AI-driven orchestration of:BotsScriptsCloud operationsSupport hybrid automation where AI agents coordinate with human approvals Security, Compliance & Responsible AIDefine AI governance and security architecture, ensuring:HIPAA, GDPR, SOC 2 complianceSecure model access, data isolation, and role-based controlsEstablish guardrails for:Ethical AIBias mitigationExplainable and auditable decision-makingOversee secure deployment of AI models and agents in regulated healthcare environments.US Healthcare & RCM Domain EnablementArchitect AI solutions supporting:Claims processingCoding & billing automationDenial prediction and managementPayment posting and revenue forecastingEnsure architectures align with US healthcare data standards, workflows, and compliance requirementsLeadership & Strategic InfluenceAct as the AI/ML architectural authority, guiding engineers, data scientists, and platform teams.Partner with product, cloud, security, and business leaders to align AI strategy with business outcomes.Mentor senior engineers and contribute to architecture reviews, reference designs, and best practices.Drive innovation through research, POCs, whitepapers, and AI thought leadershipCandidate Requirements:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.8–12+ years of experience in AI/ML engineering, data platforms, and cloud architecture.4+ years in AI/ML architecture or technical leadership roles.Proven experience designing GenAI, NLP, LLM-based, and Agentic AI systems.Strong background in US Healthcare and RCM platforms.Hands-on experience with multi-agent systems, autonomous AI, and AI-driven automation.Technical Expertise:Agentic AI, autonomous systems, multi-agent orchestrationGenAI & LLM stacks: Transformers, HuggingFace, LangChain, RAG, fine-tuning, prompt engineeringAI/ML frameworks: TensorFlow, PyTorch, Keras, scikit-learnBig Data & Streaming: Spark, Hadoop, EMR, Redshift, BigQuery, Databricks, KafkaCloud platforms: AWS, Azure, GCP (AI/ML services)APIs & microservices: .NET Core, REST, event-driven architecturesRPA & automation platformsDevOps, CI/CD, Kubernetes, DockerAI governance, security, and compliance frameworks. Skillset:Strong architectural and systems-thinking mindsetAbility to translate complex AI concepts into business-aligned solutionsExecutive-level communication and stakeholder engagementLeadership, mentorship, and influence across large teamsPassion for autonomous AI platforms and healthcare transformationStrategic Impact:Establish enterprise AI/ML and Agentic AI platformsEnable autonomous, self-healing, and intelligent cloud operationsPosition AI agents as first-class platform componentsDrive scalable, compliant, and responsible GenAI adoption in healthcare & RCMNote: At Credence, we uphold the highest standards of integrity in our recruitment process. We do not charge any fees at any stage of the hiring process, and we strictly prohibit any third parties, vendors, or individuals from soliciting money in exchange for job opportunities at Credence. If you are approached by anyone requesting payment or offering you a position at Credence in exchange for money, do not engage with them. Such actions are fraudulent and not authorized by Credence. Please report any such incidents immediately to our official HR team at Your safety and trust are important to us. Thank you for helping us maintain a fair and transparent hiring environment.