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Ecosystem Development Jobs in Alabama (NOW HIRING)

We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just ... Support the review of architectures, development approaches, model usage patterns, and technical ...

We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just ... Review architectures, development approaches, model usage patterns, data flows, and integration ...

Are you looking for a career where professional development is embedded in your employers core ... We want someone who follows the fast-moving AI ecosystem, because they genuinely enjoy it, not just ...

Are you looking for a career where professional development is embedded in your employer's core ... We want someone who follows the fast-moving AI ecosystem, because they genuinely enjoy it, not just ...

Are you looking for a career where professional development is embedded in your employer's core ... We want someone who follows the fast-moving AI ecosystem, because they genuinely enjoy it, not just ...

Are you looking for a career where professional development is embedded in your employer's core ... We want someone who follows the fast-moving AI ecosystem, because they genuinely enjoy it, not just ...

Are you looking for a career where professional development is embedded in your employer's core ... We want someone who follows the fast-moving AI ecosystem, because they genuinely enjoy it, not just ...

Career growth & professional development * A culture of trust, integrity, and teamwork The name ... We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just ...

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Ecosystem Development information

What are some common challenges faced by professionals in Ecosystem Development roles, and how can they be addressed?

Professionals in Ecosystem Development often face the challenge of aligning diverse stakeholders, such as startups, corporations, and public organizations, toward common goals. Navigating differing priorities and communication styles can be complex, requiring strong relationship-building and facilitation skills. To address these challenges, it's important to establish clear communication channels, set shared objectives early, and foster a collaborative environment through regular check-ins and transparent reporting. Proactively seeking feedback and being adaptable to evolving needs can also enhance the success of ecosystem initiatives.

What is ecosystem development?

Ecosystem development refers to the process of creating and nurturing a network of interconnected organizations, individuals, and resources that work together to drive growth, innovation, and sustainability within a specific industry or sector. Professionals in this field focus on building partnerships, supporting startups, facilitating collaboration, and creating opportunities for stakeholders to connect and thrive. The goal is to create a healthy environment where businesses, institutions, and communities can collectively advance shared objectives and adapt to changing market needs.

What is the difference between Ecosystem Development vs Business Development?

AspectEcosystem DevelopmentBusiness Development
Primary FocusBuilding and nurturing a network of partners, stakeholders, and community resources to support a technology or industry ecosystemIdentifying and securing new business opportunities, clients, and markets for a company
Required SkillsPartnership management, industry knowledge, strategic planning, stakeholder engagementSales skills, negotiation, market analysis, relationship building
Work EnvironmentCollaborative, cross-organizational, often in tech or industry clustersClient-facing, sales-driven, often in corporate settings

While both roles involve relationship management and strategic planning, Ecosystem Development focuses on creating a supportive network that benefits an entire industry or community, whereas Business Development concentrates on expanding a company's market share and revenue through new clients and deals.

What are the key skills and qualifications needed to thrive as an Ecosystem Development professional, and why are they important?

To thrive in Ecosystem Development, you need expertise in partnership management, business development, and strategic planning, often supported by a background in business, marketing, or related fields. Familiarity with CRM systems, data analytics tools, and industry-specific platforms is typically required. Exceptional networking, communication, and negotiation skills help build and maintain strong relationships with stakeholders. These abilities are crucial for expanding the organization's reach, fostering innovation, and driving sustainable growth within complex business environments.
What are popular job titles related to Ecosystem Development jobs in Alabama? For Ecosystem Development jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Ecosystem Development jobs? Cities in Alabama with the most Ecosystem Development job openings:
AI ENGINEER

Full-time

Posted 14 days ago


Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, IC, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is currently seeking a driven, detail-oriented AI Engineer to join our team.

In this role you will get to provide technical support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help develop practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure. The right candidate is a builder at heart-someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques.

Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires itResponsibilities include, but are not limited to: Provide SETA support to government teams developing or assessing AI-enabled applications and tools. Advise on technical approaches for AI application design, prototyping, integration, and evaluation.

Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. Support the review of architectures, development approaches, model usage patterns, and technical risk areas. Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.

Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders. Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.

Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant. Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices. Job Requirements and Qualifications: Required Qualifications Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field and 12+ years of relevant experience Active Secret clearance required Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. Experience with software development fundamentals, APIs, data handling, and system integration. Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.

Strong written and verbal communication skills. Desired Qualifications Ability to obtain a TS SCI clearance required Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.

Exposure to model hosting, inference pipelines, or cloud-based AI development environments. Understanding of secure AI development practices, data protection, and operational constraints in government settings. Experience supporting defense, cyber, intelligence, or mission application development.

Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies. Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. Security Clearance Requirements: Must have an active Secret Security Clearance Education Requirements: Master's Degree in STEM DisciplineResponsibilities include, but are not limited to: Provide SETA support to government teams developing or assessing AI-enabled applications and tools.

Advise on technical approaches for AI application design, prototyping, integration, and evaluation. Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. Support the review of architectures, development approaches, model usage patterns, and technical risk areas.

Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration. Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases. Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.

Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation. Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant. Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.

Job Requirements and Qualifications: Required Qualifications Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field and 12+ years of relevant experience Active Secret clearance required Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. Experience with software development fundamentals, APIs, data handling, and system integration.

Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. Strong written and verbal communication skills. Desired Qualifications Ability to obtain a TS SCI clearance required Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.

Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. Exposure to model hosting, inference pipelines, or cloud-based AI development environments. Understanding of secure AI development practices, data protection, and operational constraints in government settings.

Experience supporting defense, cyber, intelligence, or mission application development. Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies. Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.

Security Clearance Requirements: Must have an active Secret Security Clearance Education Requirements: Master's Degree in STEM Discipline