Director - Agentic Engineering

Job Description2025 marks the inflection point where AI evolved from productivity tool to autonomous teammate. Myridius is building AI-driven digital labor capabilities (AI-DLC) through our EVOQ platform—transforming how enterprises work. We need a visionary technical leader who can architect agentic AI solutions that don't just assist, but autonomously plan, execute, and deliver business outcomes.You'll lead from the front: coding, consulting, and mentoring while driving our evolution from traditional IT services to AI-native solution delivery.What You'll Do1. Architect the Future: Agentic AI Led Engineering Innovation (40%)Hands-On Engineering Leadership- Lead by example: Code, prototype, and architect using Python, LangChain, LlamaIndex, and agentic frameworks - Build autonomous agent systems using Ask-Plan-Agent patterns, multi-agent orchestration, and Model Context Protocol (MCP) - Develop Myridius EVOQ's AI-DLC capabilities: agents that independently break down projects, plan execution, self-correct, and deliver outcomesPlatform Development- Architect reusable AI frameworks and internal platforms that accelerate multi-client delivery - Stay ahead of the curve: Research and implement emerging capabilities (multi-agent systems, small language models, multimodal AI) - Drive market-differentiating innovation—solve unsolved industry problems, not just integrate APIsIntellectual Property Creation- Identify and develop proprietary algorithms and architectural patterns within EVOQ - Lead patent filing efforts to establish defensible competitive advantages - Build IP moat that positions Myridius uniquely in the agentic AI space2. Transform Client Businesses: Strategic Consulting (35%)C-Level Advisory- Act as primary technical advisor to enterprise client executives - Translate complex business challenges into high-ROI AI solutions with clear transformation roadmaps - Guide clients through autonomous AI adoption—from pilot to production scalePre-Sales Excellence- Partner with sales teams to architect winning proposals and compelling PoCs - Demonstrate thought leadership through client-facing technical presentations - Define technical scope for multi-million dollar engagementsProduction-Grade Delivery- Ensure all solutions meet enterprise standards: reliability, security, scalability, and governance - Architect MLOps pipelines and responsible AI frameworks that move beyond "notebook code"3. Build World-Class Teams: Leadership & Mentorship (25%)Talent Development- Build and mentor high-performing AI Engineering and Data Science teams - Foster culture of technical excellence, continuous learning, and innovation - Develop next-generation leaders who can architect autonomous AI systemsQuality & Standards- Establish best practices for agentic AI development, MLOps, CI/CD for AI - Conduct strategic code reviews focused on architecture, scalability, and maintainability - Implement responsible AI governance and ethical AI frameworksWhat You Bring-Core Technical Expertise- Enterprise & Cloud Architecture (Must-Have)- Enterprise Architecture: Deep understanding of microservices, service mesh, API gateway patterns, event-driven architectures - Full-Stack Development: Proficiency across frontend (React/Angular/Vue), backend (Python/Node.js/Java), and database layers - DevOps & Infrastructure: Hands-on experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure as code (Terraform, CloudFormation) - Cloud Platforms: Production deployment experience on AWS, Azure, or GCP with deep knowledge of: - Compute: EC2, Lambda, App Service, Cloud Functions - Storage: S3, Blob Storage, Cloud Storage - Networking: VPC, load balancers, CDN - Security: IAM, Key Vault, Secret Manager, security best practicesAgentic AI & Autonomous Systems (Must-Have)- Deep understanding of autonomous agent architectures (Ask-Plan-Agent, ReAct, multi-agent systems) - Experience with orchestration frameworks: LangChain, LlamaIndex, DSPy, AutoGen - Hands-on with multi-agent orchestration platforms: n8n, Make (Integromat), Apache Airflow, or Prefect - Familiarity with Model Context Protocol (MCP), agent memory systems, and tool integrationGenerative AI Mastery- Production experience with LLMs: OpenAI GPT-4, Anthropic Claude, Llama 3, Mistral - Advanced prompt engineering, Retrieval-Augmented Generation (RAG) architectures - Fine-tuning expertise: PEFT, LoRA, instruction tuningML/AI Foundation- Expert-level Python, PyTorch/TensorFlow, Scikit-learn - Strong understanding of transformer architectures, embeddings, and vector operationsData & Infrastructure- Hands-on with Vector Databases: Pinecone, Milvus, Weaviate, Qdrant - SQL/NoSQL database design for AI applications (PostgreSQL, MongoDB, Redis) - Cloud AI platforms: AWS (Bedrock/SageMaker), Azure (OpenAI Service), GCP (Vertex AI)MLOps & Production AI- Production ML pipelines: MLflow, Kubeflow, or equivalent - Containerization: Docker, Kubernetes for AI workloads - CI/CD for machine learning systems - Monitoring & observability: Prometheus, Grafana, CloudWatchExperience Requirements- 18-22 years in software engineering, architecture, or consulting - Minimum 2+ years of dedicated, hands-on AI/ML work (not just managing AI teams) - Proven track record deploying AI solutions to production at enterprise scale - Experience with autonomous agent systems or multi-step AI workflows (strong plus)Strategic Impact- Led technical teams (10+ engineers) in complex, multi-year programs - Consulted with C-level stakeholders on technology transformation - Contributed to patents, published research, or notable open-source projects (preferred)Communication Excellence- Exceptional ability to explain complex AI concepts to business leaders - Comfortable presenting to boards and executive committees - Can translate technical capabilities into business value narrativesEducation- Bachelor's or Master's degree in Computer Science, AI, Mathematics, or related field - PhD in AI/ML (plus, but not required)Why Should You Apply?- Ride the inflection point: Join at Q4 2025's agentic AI breakthrough—the once-in-a-decade moment when AI transforms from tool to autonomous teammate. Shape the market while it's being defined. - Build something meaningful: Own EVOQ platform's technical evolution and create defensible IP through patents. This isn't maintenance—it's greenfield innovation with enterprise resources. - Strategic influence at scale: Direct board-level exposure through reporting to Head of Solutions & Strategy. Guide multi-million dollar client transformations, not just implement requirements. - Technical freedom + business impact: Lead from the front with hands-on coding while architecting solutions that redefine IT services delivery. No pure management trap—you'll build, mentor, and shape strategy.Cultural FitYou thrive in environments that value:- Forward-thinking with pragmatic execution—ahead of market but with clear path to value - Straight-shooting communication—no corporate speak, direct and actionable - Continuous learning—AI is evolving weekly; curiosity is non-negotiable - Outcome obsession—technology for business impact, not technology for its own sake

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