Associate Director, AI Solutions at Blend360
Columbia, Maryland, United States -
Full Time


Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Solutions, Project Management, Team Leadership, Client Engagement, Business Development, Solution Design, Technical Oversight, Agile Methodologies, Data Science, Cloud Platforms, Agentic AI, Innovation, Recruitment, Thought Leadership, Communication, Risk Management

Industry

Professional Services

Description
Company Description BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence. Job Description Blend360 seeks a dynamic Associate Director, Integrated Solutions & Intelligent Applications to spearhead the delivery of complex GenAI and agentic AI solutions for Fortune 1000 clients. In this hands-on leadership role, you’ll be responsible for overseeing end-to-end AI project execution ensuring measurable business outcomes for our clients. You will directly manage high-performing teams of data scientists and engineers, build and maintain executive-level relationships, and guide clients through AI transformation initiatives—from initial discovery workshops to delivering impactful, production-ready solutions. This is an opportunity for a results-driven leader who thrives on delivering tangible AI value across a solution’s lifecycle and is passionate about building teams and transforming business operations through innovative technologies. If you are a builder who thrives on complexity, leads with impact, and wants to deliver real AI solutions that transform businesses—this is for you. Responsibilities Client Delivery (60% of time) Lead end-to-end delivery of AI engagements, ensuring on-time, on-scope, on-budget completion with measurable outcomes (Delivery Leadership) Oversee and mentor multi-disciplinary teams (2-10 AI engineers, data scientists, and solution architects) as part of delivery projects, ensuring successful execution and client outcomes. Co-create transformation roadmaps with clients, translating complex business challenges into actionable AI initiatives with clear ROI Lead consultative workshops and discovery sessions to identify high-value opportunities and define success metrics for Agentic AI transformation and Operations Deliver executive presentations communicating technical strategies and value propositions to both technical and non-technical audiences Business Development & Sales Support (20% of time) Collaborate with account and sales teams to advance and close opportunities, serving as an AI solution expert and trusted advisor Participate in the business development process, including shaping the deal, scoping solutions, and preparing presentation materials Work with service line teams on solution design and estimation, ensuring technical feasibility and accurate delivery planning Support proposal development by bringing together Blend experts to create compelling solutions that give clients confidence Solution Design & Leadership (10% of time) Solve for scalable, enterprise-grade intelligent applications using LLMs, RAG architectures, agentic frameworks and cloud platforms Provide technical oversight to delivery teams, ensuring solutions meet client’s enterprise security, governance, and responsible AI standards (translate from engineering team to client as needed) Drive innovation through emerging AI technologies and frameworks including AgentOps, multi-modal AI, agentic reasoning, and next-generation LLM capabilities Manage project risks and dependencies, serving as key escalation point for clients and internal teams Team Development & Thought Leadership (10% of time) Recruit and develop exceptional talent—build high performing teams through rigorous hiring practice Foster culture of Potential, Winning, and Comradery where teams play to their strengths to grow and deliver legendary results Contribute to Blend thought leadership, methodologies, and solution accelerators Stay at forefront of AI innovation through research, experimentation, and continuous learning Qualifications Required Experience & Skills 10+ years in technology consulting, AI services, or enterprise software delivery with proven track record leading complex projects 5+ years directly managing and mentoring technical teams (data scientists, ML engineers, developers) 3+ years in client-facing consulting with demonstrable C-suite relationship management Knowledgeable in Agile/Scrum methodologies Required Technical Expertise Deep conceptual understanding of modern AI: LLMs, Agentic AI Proven experience deploying AI agents and intelligent applications Strong knowledge of agentic frameworks and agentic reasoning patterns Good understanding of cloud platforms (e.g. Snowflake, AWS, Azure), data engineering, and Data science Understanding of AgentOPS, including Responsible AI, model governance, evaluation, observability and ethics frameworks Required Cultural Attributes You must be: AI First—making clever use of AI to augment and accelerate work Tenacious—refuse to lose, strong competitive drive Passionate—genuinely excited about AI and solving hard problems Curious—constantly questioning and pushing boundaries Courageous—make tough decisions, confront brutal truths Fun & engaging—energizing, authentic, collaborative Preferred Qualifications Bachelor’s degree in computer science, Statistics, Data Science, or related field MBA or equivalent Direct experience with AI agent development and Operations (monitoring, debugging, tracing AI agents in production) Thought leadership: publications, conference speaking, or open-source contributions Cloud certifications (AWS/Azure/GCP ML/AI specialty) Familiarity with Python language and Agentic AI frameworks (e.g. Langchain, CrewAI, Deepeval)
Responsibilities
Lead the delivery of AI engagements, ensuring successful execution and measurable outcomes. Oversee multi-disciplinary teams and guide clients through AI transformation initiatives.
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